{"id":"W4393531152","doi":"10.5281/zenodo.8117543","title":"SuperCorals_Experimentdata","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002630207,0.0002567205,0.0002192423,0.000377138,0.001573675,0.0006625249,0.001131547,0.0001822032,0.01533632],"category_scores_gemma":[0.0002411694,0.0002902476,0.00008318757,0.0005418774,0.00007237832,0.0002853875,0.0006627868,0.0005500201,0.1319065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405923,"about_ca_system_score_gemma":0.000002848689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009948859,"about_ca_topic_score_gemma":0.000003153185,"domain_scores_codex":[0.9984059,0.0001354026,0.0003151,0.0003949363,0.000351421,0.0003972806],"domain_scores_gemma":[0.9986978,0.00003328462,0.00004720675,0.0007992986,0.0002456088,0.0001767764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006481513,0.00004487304,5.603515e-8,0.00009454704,0.00007070868,0.00001561986,0.0001122478,0.0003298552,0.0004388383,0.00003300996,0.9972367,0.00161703],"study_design_scores_gemma":[0.0001424937,0.00006099393,0.00001426201,0.00005109667,0.00002454554,0.00005365424,0.0001979215,0.0003611957,0.0001215928,0.00002114639,0.9986676,0.0002835276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001353514,0.000153949,0.000340042,0.00008865041,0.001070237,0.0002976387,0.9867701,0.002961699,0.008182345],"genre_scores_gemma":[0.0002504286,0.001650726,0.00004309048,0.00003082651,0.0003224897,9.583523e-8,0.994559,0.002027723,0.001115659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1165702,"threshold_uncertainty_score":0.9999549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232487331874085,"score_gpt":0.2625422951688081,"score_spread":0.2202174218500673,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}