{"meta":{"query_hash":"da63f80c0010","filters":{"venue":"International Journal of Economic and Environmental Geology"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/da63f80c0010","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Economic+and+Environmental+Geology"},"results":[{"id":"W3110659401","doi":"10.46660/ijeeg.vol11.iss3.2020.475","title":"Are Neural Network Models Truly Effective at Forecasting? An Evaluation of Forecast Performance of Traditional Models with Neural Network Model for the Macroeconomic Data of G-7 Countries","year":2020,"lang":"en","type":"article","venue":"International Journal of Economic and Environmental Geology","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Artificial neural network; Econometrics; Mean absolute percentage error; Mean squared error; Inflation (cosmology); Autoregressive model; Linear model; Box–Jenkins; Economics; Exchange rate; Time series; Computer science; Statistics; Mathematics; Artificial intelligence; Finance","score_opus":0.25499113753529024,"score_gpt":0.34688696680022696,"score_spread":0.09189582926493672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110659401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730472,0.0003296191,0.02501179,0.00033371017,0.00038303083,0.00034277298,0.000467466,0.0000017291159,0.00008266552],"genre_scores_gemma":[0.994291,0.00005299541,0.005051357,0.00015843575,0.00036532865,0.000014088986,0.00004217166,0.000014413384,0.000010175839],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769074,0.00022877178,0.0010840064,0.0003263404,0.0004841898,0.00018595319],"domain_scores_gemma":[0.9948525,0.0021935205,0.0024771213,0.00024550874,0.00015114075,0.00008023941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034086537,0.00016596114,0.00050821644,0.00008023659,0.000093568975,0.000021964177,0.0009961344,0.00006634925,0.00011506437],"category_scores_gemma":[0.0001508143,0.00011897255,0.00011408902,0.00003277604,0.0005402929,0.0008984352,0.00026450507,0.00013152418,5.1714943e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029894635,0.000027216345,0.042527627,0.0000062593876,0.00019619835,7.50687e-7,0.00034863965,0.9366978,0.000016752381,0.0004526824,0.00020594691,0.016530659],"study_design_scores_gemma":[0.0014891443,0.0006535149,0.023326814,0.000020094469,0.00011698273,0.00017841291,0.00020474952,0.9509429,0.00004031537,0.022917856,0.000015858972,0.00009335439],"about_ca_topic_score_codex":0.000008599456,"about_ca_topic_score_gemma":0.00004949437,"teacher_disagreement_score":0.022465173,"about_ca_system_score_codex":0.00012765388,"about_ca_system_score_gemma":0.000078010584,"threshold_uncertainty_score":0.48515597},"labels":[],"label_agreement":null},{"id":"W4225983762","doi":"10.46660/ijeeg.vol12.iss4.2021.654","title":"Using XGBoost Model with Feature Selection Techniques for Wind Speed Forecasting","year":2022,"lang":"en","type":"article","venue":"International Journal of Economic and Environmental Geology","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Renewable energy; Wind power; Fossil fuel; Weir; Government (linguistics); Global warming; Environmental economics; Environmental science; Natural resource economics; Computer science; Climate change; Business; Engineering; Economics; Geography; Waste management; Cartography; Geology; Oceanography; Electrical engineering","score_opus":0.017109172782618566,"score_gpt":0.21347165239385363,"score_spread":0.19636247961123507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225983762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98717684,0.00010652467,0.011686931,0.00006873428,0.00039191745,0.000047026184,0.000027050639,0.000010080326,0.00048487913],"genre_scores_gemma":[0.99054164,0.000026480517,0.009021372,0.000049827388,0.0002022438,0.0000011648083,0.000013873363,0.000014806783,0.00012858932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963176,0.0000068312706,0.00015180452,0.000068138324,0.000048846996,0.000092587725],"domain_scores_gemma":[0.99982435,0.000023289303,0.000100945734,0.000020322259,0.0000046511395,0.000026468288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008805969,0.00007345439,0.000101128644,0.000086481676,0.00006704739,0.000010908111,0.00008348852,0.00002871031,0.000055977882],"category_scores_gemma":[0.0000015102995,0.000072881405,0.000034595167,0.000007826214,0.000029748144,0.00011704051,0.00003816645,0.00013111155,1.7266385e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008562617,0.00000841296,0.0056820377,0.0000023316843,0.00009226038,0.0000059129006,0.00008849978,0.9867238,0.0044750595,0.00011323548,0.00012166888,0.0026011781],"study_design_scores_gemma":[0.0004246863,0.00016313467,0.00013263401,0.000008065761,0.000016514718,0.002042243,0.000144775,0.99157345,0.001587067,0.00046372757,0.0033498902,0.0000937819],"about_ca_topic_score_codex":0.000004734918,"about_ca_topic_score_gemma":0.0000043737127,"teacher_disagreement_score":0.0055494034,"about_ca_system_score_codex":0.00022403522,"about_ca_system_score_gemma":0.00001166672,"threshold_uncertainty_score":0.29720175},"labels":[],"label_agreement":null},{"id":"W4323900412","doi":"10.46660/ijeeg.v13i1.11","title":"Impact Assessment of Pozzolanic Material Coupled with River Bed Aggregate on Expansive Behavior of High Strength Concrete","year":2022,"lang":"en","type":"article","venue":"International Journal of Economic and Environmental Geology","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Fly ash; Pozzolan; Aggregate (composite); Geotechnical engineering; Cementitious; Materials science; Mortar; Shrinkage; Compressive strength; Pozzolanic reaction; Composite material; Cement; Geology; Portland cement","score_opus":0.006579215493513148,"score_gpt":0.24284543759743382,"score_spread":0.23626622210392068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323900412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990992,0.000032105494,0.000015664533,0.000020664165,0.00040929826,0.000073888965,0.00029037741,0.0000022838083,0.000056495923],"genre_scores_gemma":[0.9995239,0.00022832768,0.00007385223,0.00001047021,0.00006002652,0.000007968547,0.00007013217,0.000010425552,0.0000149443],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99931055,0.00003424983,0.00032499075,0.00007825354,0.00015077232,0.000101207464],"domain_scores_gemma":[0.9996368,0.000036094483,0.00021723549,0.00006065257,0.000009285056,0.000039874078],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010267812,0.0000907089,0.00023490706,0.00010699396,0.000017913411,0.0000071491872,0.00015816835,0.00002398787,0.004088655],"category_scores_gemma":[0.0000010963029,0.00007975714,0.000049631148,0.000007630986,0.000106601794,0.000069322465,0.00008952775,0.0000979065,0.0000015699685],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034550435,0.00013912146,0.16302776,0.000026659789,0.0023151136,0.0002660318,0.0006129129,0.058187447,0.7675278,0.00057170127,0.00014788924,0.0037224751],"study_design_scores_gemma":[0.015486092,0.012166765,0.7846311,0.00007455815,0.0002756328,0.0013293924,0.0016378848,0.026462726,0.15654777,0.0002801356,0.0004428409,0.00066514197],"about_ca_topic_score_codex":0.00011116552,"about_ca_topic_score_gemma":0.000002524292,"teacher_disagreement_score":0.6216033,"about_ca_system_score_codex":0.00022325512,"about_ca_system_score_gemma":0.000028439961,"threshold_uncertainty_score":0.99682176},"labels":[],"label_agreement":null},{"id":"W4323923663","doi":"10.46660/ijeeg.v12i4.78","title":"Using XGBoost Model with Feature Selection Techniques for Wind Speed Forecasting","year":2023,"lang":"en","type":"article","venue":"International Journal of Economic and Environmental Geology","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Renewable energy; Wind power; Fossil fuel; Global warming; Government (linguistics); Environmental economics; Natural resource economics; Environmental science; Climate change; Business; Computer science; Engineering; Economics; Ecology; Waste management","score_opus":0.02208260773160919,"score_gpt":0.22787072774915534,"score_spread":0.20578812001754615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323923663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895492,0.000048497426,0.009465497,0.00007529948,0.00034640782,0.000041447376,0.000015234801,0.000022453329,0.0004359262],"genre_scores_gemma":[0.9924031,0.00008108137,0.0069959704,0.000027512238,0.00028308062,5.667962e-7,0.00001604201,0.000016305457,0.00017634715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996297,0.000003826213,0.00015217296,0.000067811125,0.000038672802,0.00010785297],"domain_scores_gemma":[0.999831,0.000031166404,0.00008071489,0.000020324216,0.0000061968894,0.000030594565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082988314,0.00007772104,0.00010507175,0.00011549588,0.0000328144,0.000014025814,0.000067627756,0.00005366411,0.000014441594],"category_scores_gemma":[0.0000028071854,0.00007181262,0.00003389235,0.00001242352,0.00003535798,0.0001424281,0.000020617688,0.00008655125,0.0000011547602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056441277,0.000004337973,0.008024254,0.0000045754286,0.00010799772,0.0000079236115,0.000085135674,0.9802889,0.007046295,0.00010233495,0.00023135338,0.0040404014],"study_design_scores_gemma":[0.0003396812,0.00007954672,0.00039631623,0.000022664108,0.000013817755,0.0007143548,0.00007471483,0.9936177,0.002798341,0.0005475711,0.0013100666,0.00008523871],"about_ca_topic_score_codex":0.000003445922,"about_ca_topic_score_gemma":0.0000064086935,"teacher_disagreement_score":0.013328737,"about_ca_system_score_codex":0.00010808148,"about_ca_system_score_gemma":0.000008817968,"threshold_uncertainty_score":0.29284337},"labels":[],"label_agreement":null},{"id":"W4386415069","doi":"10.46660/ijeeg.v14i1.121","title":"Techno-Economic Aspect of Dimension Stone Mining In Chitral, Khyber Pakhtunkhwa","year":2023,"lang":"en","type":"article","venue":"International Journal of Economic and Environmental Geology","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Analytic hierarchy process; Dimension (graph theory); Rock blasting; Mining engineering; Work (physics); Economic shortage; Computer science; Engineering; Data mining; Civil engineering; Operations research; Mathematics; Government (linguistics)","score_opus":0.007888779700700968,"score_gpt":0.2122979706604905,"score_spread":0.20440919095978954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386415069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985033,0.00014616436,0.000056220517,0.00013516773,0.00055588776,0.00003378197,0.000016919832,0.000018824605,0.00053370895],"genre_scores_gemma":[0.9976267,0.0015584838,0.0006315149,0.000021948132,0.00008735444,0.0000020577058,0.000011284599,0.000014236932,0.00004640694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992869,0.0000070919823,0.0004570906,0.000095121664,0.000029857762,0.00012396689],"domain_scores_gemma":[0.9997136,0.00004210982,0.00014210568,0.000065770284,0.0000016755132,0.000034718436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017776643,0.00009193889,0.00021799882,0.00027194142,0.000009553152,0.0000066388193,0.00015999864,0.00007469485,0.00026980622],"category_scores_gemma":[0.0000028842735,0.000100957266,0.000054617594,0.000010895793,0.000076786484,0.0001197304,0.0000813843,0.00010787327,0.000027041648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012915362,0.000071238224,0.54596716,0.000017813849,0.0003922707,0.00013064953,0.00091208733,0.40680212,0.015786693,0.0027400234,0.0029272987,0.024123501],"study_design_scores_gemma":[0.004060898,0.00051987707,0.5649784,0.00015382163,0.00004804479,0.0016111318,0.0022358361,0.38939217,0.018234842,0.0077383025,0.010207272,0.0008193989],"about_ca_topic_score_codex":0.000041772713,"about_ca_topic_score_gemma":0.000033888893,"teacher_disagreement_score":0.023304101,"about_ca_system_score_codex":0.00020402837,"about_ca_system_score_gemma":0.000008884444,"threshold_uncertainty_score":0.41169178},"labels":[],"label_agreement":null},{"id":"W4400612321","doi":"10.46660/ijeeg.vol13.iss1.2022.673","title":"Impact Assessment of Pozzolanic Material Coupled with River Bed Aggregate on Expansive Behavior of High Strength Concrete","year":2022,"lang":"en","type":"article","venue":"International Journal of Economic and Environmental Geology","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Pozzolan; Expansive; Aggregate (composite); Geotechnical engineering; Pozzolanic activity; Materials science; Compressive strength; Composite material; Cement; Geology; Portland cement","score_opus":0.006579215493513148,"score_gpt":0.24284543759743382,"score_spread":0.23626622210392068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400612321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990992,0.000032105494,0.000015664533,0.000020664165,0.00040929826,0.000073888965,0.00029037741,0.0000022838083,0.000056495923],"genre_scores_gemma":[0.9995239,0.00022832768,0.00007385223,0.00001047021,0.00006002652,0.000007968547,0.00007013217,0.000010425552,0.0000149443],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99931055,0.00003424983,0.00032499075,0.00007825354,0.00015077232,0.000101207464],"domain_scores_gemma":[0.9996368,0.000036094483,0.00021723549,0.00006065257,0.000009285056,0.000039874078],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010267812,0.0000907089,0.00023490706,0.00010699396,0.000017913411,0.0000071491872,0.00015816835,0.00002398787,0.004088655],"category_scores_gemma":[0.0000010963029,0.00007975714,0.000049631148,0.000007630986,0.000106601794,0.000069322465,0.00008952775,0.0000979065,0.0000015699685],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034550435,0.00013912146,0.16302776,0.000026659789,0.0023151136,0.0002660318,0.0006129129,0.058187447,0.7675278,0.00057170127,0.00014788924,0.0037224751],"study_design_scores_gemma":[0.015486092,0.012166765,0.7846311,0.00007455815,0.0002756328,0.0013293924,0.0016378848,0.026462726,0.15654777,0.0002801356,0.0004428409,0.00066514197],"about_ca_topic_score_codex":0.00011116552,"about_ca_topic_score_gemma":0.000002524292,"teacher_disagreement_score":0.6216033,"about_ca_system_score_codex":0.00022325512,"about_ca_system_score_gemma":0.000028439961,"threshold_uncertainty_score":0.99682176},"labels":[],"label_agreement":null},{"id":"W4403318588","doi":"10.46660/ijeeg.v15i1.237","title":"Petrographic, Mineralogical and Geo-mechanical Characteristics of Marble from Mohmand District, Pakistan: Implications for its Use in Construction Industry","year":2024,"lang":"en","type":"article","venue":"International Journal of Economic and Environmental Geology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Petrography; Geology; Mining engineering; Archaeology; Geography; Geochemistry","score_opus":0.01635150358572705,"score_gpt":0.2417400622297871,"score_spread":0.22538855864406007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403318588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917261,0.00022768964,0.0057903174,0.0017641657,0.00028640032,0.000041280604,0.00011233741,0.0000032563398,0.000048478614],"genre_scores_gemma":[0.9972998,0.0003311144,0.0021513382,0.00005031959,0.00009269048,0.0000035314818,0.000027914726,0.0000014038791,0.000041910676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993715,0.000015816087,0.0003402917,0.00015804407,0.000033848828,0.00008050019],"domain_scores_gemma":[0.99953884,0.00020541025,0.00014316746,0.00005582609,0.00001253726,0.00004419499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010475313,0.00006815341,0.00014424042,0.000064303735,0.00001696995,0.000046260302,0.0001655856,0.00012052921,0.00004391786],"category_scores_gemma":[0.000024933597,0.00006351805,0.00004127212,0.000016439351,0.00010806901,0.00022022473,0.00011242666,0.00016483091,6.293073e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013535663,0.00014007688,0.78949195,0.000022802838,0.00024890914,0.000057541878,0.00011032079,0.00026309156,0.017097414,0.16119562,0.00015721735,0.03107972],"study_design_scores_gemma":[0.0008648624,0.00017531472,0.9298132,0.00004036733,0.00002260157,0.0009674709,0.00010311587,0.01927765,0.0005008149,0.03904192,0.009040031,0.00015262312],"about_ca_topic_score_codex":0.000014860901,"about_ca_topic_score_gemma":0.000004689078,"teacher_disagreement_score":0.1403213,"about_ca_system_score_codex":0.00004083334,"about_ca_system_score_gemma":0.000015932865,"threshold_uncertainty_score":0.2590191},"labels":[],"label_agreement":null},{"id":"W7084589772","doi":"10.46660/ijeeg.v15i1.464","title":"Thermal Properties of Rocks and Environmental Sustainability","year":2024,"lang":"en","type":"article","venue":"International Journal of Economic and Environmental Geology","topic":"Pneumocystis jirovecii pneumonia detection and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Sustainability; Global warming; Geothermal gradient; Thermal; Sustainable development; Geothermal energy; Geothermal heating; Climate change","score_opus":0.006598554385578358,"score_gpt":0.21731191693021631,"score_spread":0.21071336254463796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084589772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99566704,0.002567087,0.00003236314,0.0012033284,0.00029372989,0.00007178094,0.000015498052,0.0000036891172,0.00014548269],"genre_scores_gemma":[0.9986042,0.00085915835,0.000022642778,0.000069961694,0.000098508164,0.0000023126615,0.000005452155,0.000007001237,0.00033079876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994292,0.000017981569,0.00028192764,0.00011928102,0.0000745456,0.0000770096],"domain_scores_gemma":[0.99977255,0.000024014851,0.000087206856,0.000046771806,0.0000038564913,0.00006559228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000791588,0.000085699554,0.00017752935,0.0000944817,0.000017102688,0.000010353201,0.00004382903,0.00004595874,0.00020837739],"category_scores_gemma":[0.0000057600846,0.00006630292,0.00006672716,0.0000045628094,0.00024560478,0.00009934488,0.00006184346,0.0001004394,0.000006409842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017251202,0.00061838294,0.63460714,0.000116605195,0.0019468669,0.0007324321,0.0014288138,0.0008026991,0.24486777,0.00044204792,0.00006869952,0.11264344],"study_design_scores_gemma":[0.00637357,0.0033220756,0.8829587,0.00021833998,0.00046053316,0.019989429,0.005110406,0.010579555,0.054056097,0.0017756702,0.014738045,0.00041758458],"about_ca_topic_score_codex":0.000022710801,"about_ca_topic_score_gemma":0.0000021308756,"teacher_disagreement_score":0.24835157,"about_ca_system_score_codex":0.0002612899,"about_ca_system_score_gemma":0.00003098628,"threshold_uncertainty_score":0.27037546},"labels":[],"label_agreement":null}]}