{"id":"W4393462027","doi":"10.5281/zenodo.3386384","title":"CancerMine","year":2019,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00109733,0.0002842566,0.0004845026,0.0006750345,0.001104784,0.000332569,0.001372955,0.0002232764,0.0587332],"category_scores_gemma":[0.001563082,0.0002502816,0.0001128469,0.0009415987,0.0004176466,0.0001338525,0.001269732,0.000974093,0.03790917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003897268,"about_ca_system_score_gemma":0.00004974133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001555076,"about_ca_topic_score_gemma":0.000001629584,"domain_scores_codex":[0.9966405,0.0002032816,0.0003707328,0.0007642668,0.001303822,0.0007174023],"domain_scores_gemma":[0.9969413,0.00003947638,0.0001599873,0.001311075,0.0009674339,0.0005807664],"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":[0.0001456443,0.0001587892,9.618594e-7,0.0004923916,0.00006210904,0.0001271109,0.0001030113,0.000002105125,0.0004761992,0.00002649625,0.9755487,0.02285645],"study_design_scores_gemma":[0.001283279,0.0008421513,0.0001886042,0.0002710246,0.00008933947,0.0005871025,0.0001428713,0.00003833837,0.00008263446,0.000008298086,0.9962321,0.0002342726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000369578,0.000440555,0.00005523826,0.001476615,0.0005447848,0.001266594,0.9491584,0.0003699982,0.04631829],"genre_scores_gemma":[0.0006870868,0.001368877,0.0000346684,0.0008527118,0.0008780163,7.593244e-8,0.9874534,0.001057216,0.007667945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03865035,"threshold_uncertainty_score":0.9999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06367873978352286,"score_gpt":0.3169017429307672,"score_spread":0.2532230031472443,"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."}}