{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006105597,0.0003433685,0.0004052896,0.00008521972,0.0000654991,0.00003235703,0.0002742659,0.0006966271,0.00005489491],"category_scores_gemma":[0.00003878598,0.0003616249,0.0001409166,0.00006041219,0.0001513152,0.000002427287,0.0001896645,0.0004122953,0.00005707505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006102392,"about_ca_system_score_gemma":0.0003198238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001535836,"about_ca_topic_score_gemma":0.00003550381,"domain_scores_codex":[0.9982767,0.0001107007,0.0002547009,0.0007680865,0.0001491953,0.0004406099],"domain_scores_gemma":[0.9991091,0.00002759256,0.0001371596,0.0004438832,0.0001638272,0.0001184076],"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":[0.00005537789,0.00009552081,0.002340904,0.0002814983,0.00006385954,0.00001200902,0.00004768379,0.000003364254,0.005291679,0.000003679553,0.9751387,0.01666577],"study_design_scores_gemma":[0.0006622776,0.0004248455,0.0007570603,0.0001069689,0.0001000796,0.000005392588,0.00002124548,0.000002625443,0.00251734,0.00008551832,0.9948819,0.0004347773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.4146524,0.07910885,0.0004237434,0.4837693,0.01497347,0.002509458,0.002530378,0.00007900332,0.001953363],"genre_scores_gemma":[0.01305069,0.01881282,0.0003902145,0.9146595,0.04398566,0.0007520472,0.004490729,0.0001992305,0.0036591],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4308902,"threshold_uncertainty_score":0.9998836,"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."}}