{"id":"W3089850789","doi":"10.1002/cncr.33212","title":"Predictive classifier for intensive treatment of head and neck cancer","year":2020,"lang":"en","type":"review","venue":"Cancer","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Cancer Institute","keywords":"Medicine; Head and neck cancer; Head and neck; Classifier (UML); Radiology; Cancer; Surgery; Internal medicine; Artificial intelligence; 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":[0.01308491,0.0009431608,0.002164892,0.001649763,0.0002656975,0.001095413,0.00118193,0.0008535368,0.002858542],"category_scores_gemma":[0.03605288,0.0003439544,0.003508402,0.00116916,0.0003525833,0.0007212303,0.0006315359,0.001750357,0.0003145693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931639,"about_ca_system_score_gemma":0.001006046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492153,"about_ca_topic_score_gemma":0.001410361,"domain_scores_codex":[0.9940261,0.003776093,0.0004386559,0.0008196508,0.0007576692,0.0001818692],"domain_scores_gemma":[0.9729011,0.02063694,0.004375183,0.0008984452,0.0008109031,0.0003774412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02881017,0.0006552244,0.6664895,0.006408674,0.02560239,0.0001889072,0.00015968,0.04541399,0.001576323,0.002058662,0.008411443,0.214225],"study_design_scores_gemma":[0.01107259,0.01033401,0.4652174,0.003063063,0.09105849,0.001223369,0.0002752072,0.3657445,0.00526595,0.02642176,0.02004198,0.0002816804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.814745,0.08805885,0.07207901,0.004276507,0.001494981,0.001743643,0.009477181,0.0007554877,0.00736938],"genre_scores_gemma":[0.9859146,0.001944956,0.008961683,0.0005745944,0.0003247329,0.0003251673,0.001581984,0.00002131653,0.0003509181],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01308491,"threshold_uncertainty_score":0.0692004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1603679641913064,"score_gpt":0.4388623265636528,"score_spread":0.2784943623723464,"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."}}