{"id":"W2956077746","doi":"10.3747/co.26.4855","title":"Crocodiles and Alligators: Physicians’ Answer to Cancer?","year":2019,"lang":"en","type":"letter","venue":"Current Oncology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Bioinformatics; Data science; Computational biology; Biology; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003085014,0.0007026504,0.00142518,0.0007634312,0.005075304,0.002310233,0.001503816,0.04713572,0.007957507],"category_scores_gemma":[0.01775636,0.0006524172,0.001028042,0.0005784572,0.003598973,0.005815089,0.002214548,0.04089158,0.005654482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00353008,"about_ca_system_score_gemma":0.005053832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01829368,"about_ca_topic_score_gemma":0.03268293,"domain_scores_codex":[0.9982098,0.0005802942,0.0002273899,0.0002532203,0.0004358342,0.0002933384],"domain_scores_gemma":[0.9929651,0.003242745,0.0004099613,0.0002321133,0.001774059,0.001376105],"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":[0.00005003477,0.00003335591,0.001212525,0.0000506151,0.00001557618,0.002019842,0.0001926146,0.00004385472,0.0001552694,0.001921818,0.9792169,0.01508764],"study_design_scores_gemma":[0.000216947,0.0001517455,0.003251193,0.0007513303,0.0000473338,0.00862944,0.00189617,0.0004003956,0.0002213523,0.01471757,0.9695886,0.0001279403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002757453,0.002217116,0.00003455724,0.9882503,0.008376954,0.000002775001,0.00002001191,0.000009372589,0.0008132528],"genre_scores_gemma":[0.00341903,0.00293325,0.0002127964,0.9565928,0.03335933,0.00001129967,0.00002675634,0.000009605761,0.003435153],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04713572,"threshold_uncertainty_score":0.03637439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111071558529164,"score_gpt":0.3700178886540833,"score_spread":0.3189071730687917,"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."}}