{"id":"W6887395092","doi":"10.15562/tcp.76","title":"Machine learning application in cancer research: Mini Review","year":2019,"lang":"en","type":"article","venue":"The Cancer Press","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cancer; Feature (linguistics); Process (computing); Field (mathematics); Training set","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":[0.002699113,0.0006664222,0.001638831,0.002105951,0.0002936935,0.001745389,0.00145075,0.002046397,0.002965929],"category_scores_gemma":[0.00551739,0.0003823243,0.0009390385,0.002124641,0.000854756,0.002375572,0.0009659703,0.002261428,0.001342391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006788446,"about_ca_system_score_gemma":0.002075532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109349,"about_ca_topic_score_gemma":0.002150474,"domain_scores_codex":[0.9995058,0.000158194,0.00007277211,0.00009049833,0.0001339628,0.00003881668],"domain_scores_gemma":[0.9946902,0.003723012,0.0003154745,0.00008918895,0.00100615,0.0001760073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001562081,0.0001215021,0.001102999,0.02222575,0.0003300252,0.0001800291,0.0000662259,0.0005287147,0.0008332661,0.003011763,0.07044036,0.9010032],"study_design_scores_gemma":[0.0000719278,0.0003067741,0.003017577,0.01158196,0.0009553809,0.001259895,0.0001509039,0.001351394,0.001083811,0.006059194,0.9740821,0.00007899332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001274478,0.9970164,0.0003960286,0.001411952,0.0006737332,0.000006898003,0.0000175092,0.00001027143,0.0003397875],"genre_scores_gemma":[0.001927602,0.9926285,0.001070785,0.001642384,0.002235139,0.00001457405,0.00005876469,0.000005908446,0.0004162836],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002965929,"threshold_uncertainty_score":0.01427442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09652963668837547,"score_gpt":0.3908739109914948,"score_spread":0.2943442743031194,"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."}}