{"id":"W4393773478","doi":"10.5281/zenodo.1887736","title":"CancerMine","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","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":[0.001244601,0.0002834245,0.0004359326,0.0006693403,0.001658576,0.0003498427,0.001392264,0.0002208762,0.06771654],"category_scores_gemma":[0.00205201,0.0002483079,0.0001023278,0.001025895,0.0008082343,0.0001275411,0.001316178,0.0008001385,0.02033397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003726248,"about_ca_system_score_gemma":0.00004634626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002072173,"about_ca_topic_score_gemma":0.000003647386,"domain_scores_codex":[0.9966367,0.0002124578,0.0003778903,0.0007653119,0.001271858,0.0007357493],"domain_scores_gemma":[0.9965793,0.00003130762,0.0001586578,0.001219937,0.001321312,0.000689514],"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":[0.000152737,0.0001643712,5.558301e-7,0.0003140046,0.00006106876,0.0001408598,0.0001182558,2.897553e-7,0.0003829405,0.00002245503,0.979124,0.01951845],"study_design_scores_gemma":[0.001094128,0.001113272,0.0001382252,0.0002590896,0.00009027139,0.0006889611,0.0001014191,0.00002272989,0.0001353237,0.00001579342,0.9961131,0.0002277219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004208804,0.0003021019,0.00005163361,0.001327744,0.0004933784,0.0009630427,0.9570715,0.0004945506,0.03887519],"genre_scores_gemma":[0.0004292302,0.001151989,0.00006111913,0.0008246524,0.001780667,8.794318e-8,0.9907148,0.001035094,0.004002305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04738257,"threshold_uncertainty_score":0.9999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131116652333921,"score_gpt":0.3129056698058688,"score_spread":0.2615945032825296,"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."}}