{"meta":{"query_hash":"2c16d7ebde74","filters":{"venue":"TUHH Open Research"},"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/2c16d7ebde74","api":"https://metacan.xera.ac/api/v1/cohort?venue=TUHH+Open+Research"},"results":[{"id":"W6943764965","doi":"10.15480/882.2166","title":"Design, fabrication and temperature sensitivity testing of a miniature Piezoelectric-based sensor for current measurements","year":2014,"lang":"en","type":"article","venue":"TUHH Open Research","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Current sensor; Sensitivity (control systems); Temperature measurement; Power (physics); Power grid; Grid; Current (fluid); Thermal","score_opus":0.2649595441714791,"score_gpt":0.4137910118152718,"score_spread":0.14883146764379268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6943764965","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":[0.97856617,0.000957178,0.005737046,0.0020122505,0.00009234489,0.0037295334,0.00011835737,0.00009526028,0.008691874],"genre_scores_gemma":[0.9913697,0.000009436324,0.0075535597,0.00001927467,0.00018685253,0.00017997397,0.000039669467,0.000032774078,0.00060875283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99699146,0.00060345023,0.0002632147,0.0005355206,0.0009803829,0.0006259854],"domain_scores_gemma":[0.9949124,0.0025667218,0.00009495366,0.0004559562,0.0017818728,0.00018813266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006034929,0.00017066796,0.00030345382,0.00016475593,0.0003943828,0.00025856428,0.00043432746,0.00015635761,0.000034559307],"category_scores_gemma":[0.0054042633,0.00014377563,0.000044500022,0.0006239788,0.00012868986,0.00011420696,0.00024834188,0.00069646887,0.0000070522988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003107942,0.00023807542,0.002528498,0.0006570047,0.000026920688,0.0000020552939,0.000081223356,0.00003434167,0.9076542,0.000028642127,0.003456864,0.08498134],"study_design_scores_gemma":[0.0021183486,0.0003465437,0.0016389135,0.000452451,0.000018998811,0.000005827752,0.00008456804,0.030484393,0.96104544,0.00025455767,0.0032822075,0.00026774348],"about_ca_topic_score_codex":0.000099662524,"about_ca_topic_score_gemma":0.000012270327,"teacher_disagreement_score":0.08471359,"about_ca_system_score_codex":0.00008477079,"about_ca_system_score_gemma":0.00040571162,"threshold_uncertainty_score":0.6469798},"labels":[],"label_agreement":null},{"id":"W7105694866","doi":"10.15480/882.16135","title":"Generative adversarial networks for downscaling hourly precipitation in the canadian prairies","year":2025,"lang":"en","type":"article","venue":"TUHH Open Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"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":"Downscaling; Climate model; Precipitation; Benchmark (surveying); Climate change; Key (lock); Fidelity; Coupled model intercomparison project; Spatial ecology; Adversarial system","score_opus":0.1279082809294181,"score_gpt":0.41650205180018735,"score_spread":0.2885937708707692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105694866","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":[0.5770592,0.00007092468,0.010302621,0.06854005,0.00045010567,0.010538094,0.00010174211,0.000019841209,0.33291742],"genre_scores_gemma":[0.99649984,0.000007022149,0.0011590209,0.00044570104,0.000043488668,0.00048313933,0.00003519358,0.0000043880505,0.0013221868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985019,0.00044345003,0.00014247837,0.0002602137,0.00025038543,0.00040159238],"domain_scores_gemma":[0.9989359,0.0007274983,0.000015087988,0.00022957701,0.000032924905,0.00005903516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051749805,0.000059765167,0.000089079775,0.00006859466,0.0007021533,0.00037699708,0.0007024014,0.00007483618,0.00019600583],"category_scores_gemma":[0.00043119484,0.0000448783,0.000021908405,0.0004895171,0.00021685274,0.00026161227,0.0002684425,0.0002578242,0.000028040979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010360021,0.00039942362,0.08598324,0.0000584302,0.000055574776,0.000013358501,0.03116185,0.4551795,0.00074566365,0.18950474,0.1983558,0.0375064],"study_design_scores_gemma":[0.0029429607,0.0003908471,0.1542113,0.00011397886,0.000021291193,0.0000016411822,0.005450415,0.56700605,0.00034571224,0.12183558,0.14724721,0.0004330075],"about_ca_topic_score_codex":0.51318085,"about_ca_topic_score_gemma":0.9262053,"teacher_disagreement_score":0.41944066,"about_ca_system_score_codex":0.0004725769,"about_ca_system_score_gemma":0.00022182919,"threshold_uncertainty_score":0.5400467},"labels":[],"label_agreement":null},{"id":"W7105905481","doi":"10.15480/882.16146","title":"Rainfed spring canola yield response to changing heat and water stress in the Canadian Prairie region","year":2025,"lang":"en","type":"article","venue":"TUHH Open Research","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Canola; DSSAT; Precipitation; Crop yield; Climate change; Yield (engineering); Agriculture; Air temperature; Soil water","score_opus":0.04383563030330901,"score_gpt":0.35395646561409555,"score_spread":0.31012083531078655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105905481","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":[0.96700835,0.00016023652,0.00001877932,0.025046723,0.00003140639,0.0008761886,0.0000046957443,0.000002741151,0.00685086],"genre_scores_gemma":[0.9938616,0.000011095785,0.000024640269,0.0011549015,0.000036006786,0.00015147905,0.000010113314,0.000010223225,0.0047399206],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981942,0.0006267191,0.000102410886,0.0003213584,0.00016278065,0.0005924895],"domain_scores_gemma":[0.99923956,0.00012778367,0.000004741789,0.00040758765,0.00007693611,0.0001434103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032029108,0.000090270114,0.000101946374,0.00033667887,0.00040782942,0.0003027393,0.0005554526,0.00009920938,0.000009163797],"category_scores_gemma":[0.0004646353,0.00006191982,0.000019872747,0.00032851103,0.000070860515,0.0000063963907,0.00054528157,0.00023977376,0.000009957393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016320194,0.000050321727,0.027434785,0.000044313605,0.00003775346,0.00024308066,0.0016159941,0.000016271866,0.9522941,0.00065278495,0.011533119,0.00444547],"study_design_scores_gemma":[0.0010573354,0.00047394488,0.038358875,0.00024685773,0.000005998288,0.000020538742,0.001992338,0.00007648664,0.7339355,0.00012578315,0.22341472,0.00029165766],"about_ca_topic_score_codex":0.07515912,"about_ca_topic_score_gemma":0.51857334,"teacher_disagreement_score":0.4434142,"about_ca_system_score_codex":0.00006975814,"about_ca_system_score_gemma":0.0003977012,"threshold_uncertainty_score":0.93099946},"labels":[],"label_agreement":null}]}