{"meta":{"query_hash":"7e8e29964af6","filters":{"venue":"Proceedings of the 2021 Asia Pacific Unconventional Resources Technology Conference"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/7e8e29964af6","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+of+the+2021+Asia+Pacific+Unconventional+Resources+Technology+Conference"},"results":[{"id":"W3213568860","doi":"10.15530/ap-urtec-2021-208394","title":"Physics-Constrained Deep Learning for Production Forecast in Tight Reservoirs","year":2021,"lang":"en","type":"article","venue":"Proceedings of the 2021 Asia Pacific Unconventional Resources Technology Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; University of Calgary","funders":"","keywords":"Production (economics); Computer science; Deep learning; Petroleum engineering; Geology; Artificial intelligence; Economics; Microeconomics","score_opus":0.01624819432235984,"score_gpt":0.23865941558804935,"score_spread":0.22241122126568952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213568860","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34145397,0.0012015942,0.6476413,0.0016419986,0.00020498602,0.000044821492,0.0008362999,0.0018629167,0.0051121595],"genre_scores_gemma":[0.97045845,0.00021657022,0.025300194,0.00015534181,0.00007276594,0.000035710425,0.0006402566,0.00008520874,0.0030355584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998797,0.000025309957,0.000005729028,0.000036467198,0.000018501343,0.000034274268],"domain_scores_gemma":[0.9993519,0.00040963196,0.000047990317,0.000036828136,0.000091124355,0.000062507956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005358635,0.00073424395,0.0009225303,0.00042830396,0.0003900654,0.0008344083,0.001088116,0.0012237361,0.0022211561],"category_scores_gemma":[0.0022335737,0.000721765,0.00058992807,0.0006550502,0.00052809645,0.0017437772,0.0011186812,0.0018145104,0.0003071498],"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":[0.000054726846,0.000029893808,0.00057087437,0.000015144879,0.000019072668,0.000022478045,0.000011028437,0.9847979,0.00042471712,0.001652782,0.0006843939,0.011716955],"study_design_scores_gemma":[0.0000010652788,0.0000014905502,0.000023770715,5.017209e-7,6.7038053e-7,4.9732955e-7,8.551367e-7,0.9994351,0.000046027413,0.00047180956,0.000017500519,6.959151e-7],"about_ca_topic_score_codex":0.028476786,"about_ca_topic_score_gemma":0.022749009,"teacher_disagreement_score":0.028476786,"about_ca_system_score_codex":0.0010197904,"about_ca_system_score_gemma":0.0017203112,"threshold_uncertainty_score":0.05662203},"labels":[],"label_agreement":null},{"id":"W3214289805","doi":"10.15530/ap-urtec-2021-208316","title":"Optimization of Improving Liquids Recovery from Duvernay Shale Condensate Reservoirs","year":2021,"lang":"en","type":"article","venue":"Proceedings of the 2021 Asia Pacific Unconventional Resources Technology Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Oil shale; Petroleum engineering; Shale gas; Geology; Environmental science","score_opus":0.01239512058918372,"score_gpt":0.2176243619492945,"score_spread":0.20522924136011078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214289805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782591,0.00024029608,0.017096987,0.0001145436,0.000014793522,0.00005435803,0.00013127393,0.00017311443,0.0039155087],"genre_scores_gemma":[0.9963685,0.000068161826,0.0023443156,0.00000889619,0.0000017542379,0.000021124491,0.000051444422,0.000013087793,0.0011226411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998388,0.000028052922,0.000008526904,0.000029263487,0.00003953339,0.000055620112],"domain_scores_gemma":[0.99982435,0.00007353576,0.000023903936,0.00001293742,0.00004788387,0.000017284518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037866857,0.000537122,0.00068363297,0.0005524694,0.0005071667,0.0009869279,0.0004495356,0.00062891736,0.0019946233],"category_scores_gemma":[0.00058917626,0.00035254244,0.0005064928,0.0004222637,0.00026118458,0.00058193965,0.00055388146,0.0003919478,0.00024296955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060666027,0.00026687174,0.0019139257,0.00012590652,0.000029722709,0.00010425611,0.000027528155,0.9165812,0.058206584,0.0005983534,0.00027116534,0.021267781],"study_design_scores_gemma":[0.000053826898,0.0006358702,0.0016937378,0.000007081525,0.00002725074,0.000010376559,0.00004924519,0.92419773,0.072383486,0.00019028793,0.0007373055,0.000013848434],"about_ca_topic_score_codex":0.008226028,"about_ca_topic_score_gemma":0.011022035,"teacher_disagreement_score":0.99177396,"about_ca_system_score_codex":0.0010616776,"about_ca_system_score_gemma":0.0011531839,"threshold_uncertainty_score":0.01635629},"labels":[],"label_agreement":null},{"id":"W3216751552","doi":"10.15530/ap-urtec-2021-208389","title":"From Petroleum System Evaluation to Geomodeling, Production Forecasting and Reserves Determination in Unconventional Reservoirs","year":2021,"lang":"en","type":"article","venue":"Proceedings of the 2021 Asia Pacific Unconventional Resources Technology Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum; Petroleum engineering; Production (economics); Oil production; Environmental science; Geology; Economics","score_opus":0.027579832536646205,"score_gpt":0.25519025186279387,"score_spread":0.22761041932614767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216751552","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6824446,0.0011303613,0.30168882,0.0019474518,0.000075453456,0.0001341414,0.00030326625,0.00047265168,0.011803402],"genre_scores_gemma":[0.985276,0.00021985786,0.012675557,0.00003119214,0.000010900056,0.000035924124,0.00007647131,0.000027826516,0.001646313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955946,0.00028466486,0.000020740375,0.000035222336,0.000060319868,0.000039581602],"domain_scores_gemma":[0.99806935,0.0015320097,0.000086125954,0.000059586742,0.00019699523,0.000055922894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012912264,0.0006995522,0.00081809686,0.0006497202,0.00048137573,0.0016500022,0.0005478559,0.0010149161,0.0013607182],"category_scores_gemma":[0.004872212,0.0005616286,0.00039432652,0.0006531831,0.00072681956,0.0013574848,0.0007836916,0.0009325507,0.000097840064],"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":[0.000038367172,0.000021020287,0.000824452,0.00001875748,0.000012409649,0.000031216336,0.000017564147,0.9892502,0.0003173916,0.00087631325,0.00015036891,0.008441938],"study_design_scores_gemma":[0.0000020074767,0.000007453917,0.00015274718,0.0000018542414,0.0000021884089,0.0000018510912,0.000010071116,0.9986519,0.00024286697,0.0008590336,0.00006631425,0.0000017666049],"about_ca_topic_score_codex":0.036671124,"about_ca_topic_score_gemma":0.029226208,"teacher_disagreement_score":0.036671124,"about_ca_system_score_codex":0.0014195876,"about_ca_system_score_gemma":0.0020065343,"threshold_uncertainty_score":0.072915375},"labels":[],"label_agreement":null}]}