{"id":"W4393433822","doi":"10.5281/zenodo.3872933","title":"CancerMine","year":2020,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002395834,0.002244333,0.00196292,0.002815426,0.001494611,0.004590366,0.005697446,0.003086875,0.2587674],"category_scores_gemma":[0.008047453,0.002048093,0.002879247,0.00258038,0.0004348989,0.002960135,0.003286329,0.002372382,0.2269304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963506,"about_ca_system_score_gemma":0.002391705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004764018,"about_ca_topic_score_gemma":0.006934684,"domain_scores_codex":[0.9982454,0.0002619962,0.0001495009,0.0005584473,0.0005848075,0.0002000162],"domain_scores_gemma":[0.9980883,0.0008706509,0.0001313747,0.0003878546,0.0003948524,0.000126891],"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":[0.0003394413,0.0000359496,0.00117518,0.001953527,0.0001183917,0.0001281767,0.0001800259,0.0007698821,0.002013879,0.003565296,0.9596754,0.03004487],"study_design_scores_gemma":[0.0001033332,0.00003891624,0.0006892414,0.0001996341,0.00006205018,0.0002892968,0.00004661397,0.001124059,0.002702153,0.003267823,0.9914327,0.00004430714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002053371,0.003386556,0.02664905,0.001934689,0.0007460319,0.0003181931,0.582747,0.3356247,0.04654039],"genre_scores_gemma":[0.009663203,0.002255149,0.03737659,0.003544404,0.0001537037,0.001479754,0.8100861,0.0992281,0.03621303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2587674,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0582422044061041,"score_gpt":0.3048021805737314,"score_spread":0.2465599761676273,"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."}}