{"id":"W6969427806","doi":"10.5683/sp3/cckjyk","title":"OsterlundJBC_Figure S2","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Programmed cell death; Measure (data warehouse); HEK 293 cells; Apoptosis; Cell; Curve fitting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001662141,0.002138246,0.001839835,0.002395296,0.002208624,0.005681517,0.003712472,0.003424841,0.8692013],"category_scores_gemma":[0.004282054,0.001579119,0.001443423,0.002960365,0.0007043828,0.003173431,0.002718721,0.002370486,0.7070604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120479,"about_ca_system_score_gemma":0.00241026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296006,"about_ca_topic_score_gemma":0.003988948,"domain_scores_codex":[0.9981124,0.0001829653,0.0001079785,0.0005745791,0.0007982351,0.000223774],"domain_scores_gemma":[0.9983922,0.0002968809,0.00009843054,0.0004511486,0.0005164885,0.0002448461],"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":[0.0001990648,0.00005611444,0.0002977737,0.0007990382,0.00002870187,0.0001256352,0.0000538119,0.000397775,0.004215083,0.006252159,0.9426989,0.04487588],"study_design_scores_gemma":[0.00005484189,0.0000270863,0.0004236347,0.0001403726,0.00001051508,0.0001271476,0.00003503056,0.0002861638,0.002254024,0.002458435,0.9941652,0.00001741339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001735114,0.003035557,0.02430208,0.003791876,0.009610659,0.0005453888,0.5439163,0.03749048,0.3755726],"genre_scores_gemma":[0.0180562,0.003152243,0.02133651,0.002856254,0.0009677614,0.001453953,0.5976678,0.01235969,0.3421497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1307987,"threshold_uncertainty_score":0.1865684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133229602572635,"score_gpt":0.2743872402838068,"score_spread":0.2530549442580805,"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."}}