{"id":"W4361005215","doi":"10.3390/epidemiologia4020012","title":"Screening and Surveillance Bias in Cancer","year":2023,"lang":"en","type":"article","venue":"Epidemiologia","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scrutiny; Identification (biology); Public health; Medicine; Cancer detection; Cancer; Environmental health; Psychology; Political science; Pathology; Internal medicine; Law; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1403989,0.0006216952,0.00168599,0.004245691,0.001397533,0.003010635,0.00145349,0.00282255,0.004378099],"category_scores_gemma":[0.4590857,0.0005953222,0.001524227,0.005819135,0.004100934,0.003283897,0.002722851,0.002058888,0.0004034941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002897762,"about_ca_system_score_gemma":0.003114971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109235,"about_ca_topic_score_gemma":0.006464274,"domain_scores_codex":[0.7692419,0.1743514,0.01584007,0.0183085,0.01900677,0.003251445],"domain_scores_gemma":[0.4844477,0.4110883,0.06210683,0.02399393,0.01649888,0.001864212],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001138095,0.0001271108,0.6996174,0.003222697,0.004275967,0.0006198277,0.007856408,0.002691338,0.000343242,0.1002061,0.02012411,0.1597777],"study_design_scores_gemma":[0.000663469,0.0007972433,0.65231,0.00680863,0.003907983,0.005285808,0.00388334,0.01973008,0.002690912,0.2255898,0.07798164,0.0003512108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5332108,0.1106736,0.1562988,0.07563992,0.007897753,0.003681093,0.00997176,0.0005052873,0.102121],"genre_scores_gemma":[0.9710104,0.005030185,0.008988835,0.008923613,0.002049014,0.0007915603,0.001061976,0.00004073319,0.002103579],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8596011,"threshold_uncertainty_score":0.7425094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3678444412479513,"score_gpt":0.4471262243973423,"score_spread":0.07928178314939105,"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."}}