{"id":"W3011527394","doi":"","title":"Dentists' Capacity to Mitigate the Burden of Oral Cancers in Ontario, Canada.","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Logistic regression; Family medicine; Cancer; Oral Cancers; Incidence (geometry); Risk factor; Odds ratio; Environmental health; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001341264,0.0002245221,0.0002163375,0.0005860807,0.004410266,0.001293532,0.001264247,0.0006500999,0.005198356],"category_scores_gemma":[0.004310445,0.000339139,0.0003692771,0.001324941,0.001084256,0.0004224811,0.001484367,0.0007971982,0.0003520382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04546238,"about_ca_system_score_gemma":0.1213145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993811,"about_ca_topic_score_gemma":0.9967956,"domain_scores_codex":[0.9982694,0.0001637045,0.00006838005,0.0001107452,0.0007692865,0.0006184592],"domain_scores_gemma":[0.9955468,0.0003122266,0.0008419266,0.00006120384,0.001237511,0.002000393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001246461,0.0001627055,0.9055848,0.0005835176,0.00004630066,0.0005732864,0.01640848,0.0002752649,0.0009877799,0.0006083418,0.01928188,0.05536298],"study_design_scores_gemma":[0.00002644414,0.00008247824,0.964355,0.0002316378,0.00003262126,0.000149055,0.01424998,0.0003819382,0.0001118425,0.00008369642,0.02027372,0.00002160444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591761,0.00401805,0.0002384623,0.01425425,0.0001095062,0.0002598178,0.001538241,0.00006163922,0.020344],"genre_scores_gemma":[0.990841,0.0019768,0.0005796102,0.001090172,0.00002299821,0.00005957881,0.0003595345,0.000008724312,0.005061398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04546238,"threshold_uncertainty_score":0.3298542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04783648886119306,"score_gpt":0.2374538968687582,"score_spread":0.1896174080075651,"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."}}