{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001847454,0.0001014665,0.0003560809,0.000108581,0.00004094013,0.000005924896,0.00005842342,0.00009052905,0.00006111986],"category_scores_gemma":[0.002193985,0.00008050475,0.00004112224,0.0005108773,0.00006765623,0.00005265936,0.00006321133,0.000205962,0.00003332014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004275195,"about_ca_system_score_gemma":0.00003671532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871059,"about_ca_topic_score_gemma":0.0004697682,"domain_scores_codex":[0.9988883,0.0001140528,0.0002661928,0.0002718637,0.0001100621,0.0003495694],"domain_scores_gemma":[0.9991061,0.0005652889,0.00006163457,0.000147075,0.00002728959,0.0000926096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005227895,0.000002833814,0.9727639,0.00001893347,0.00000902083,0.00006664261,0.00004142752,0.0002771223,0.0001811754,0.0001315765,0.01048781,0.0159673],"study_design_scores_gemma":[0.0003964583,0.00006212213,0.9915713,0.0001396567,0.000003721308,0.00001575617,0.0001240996,0.003411089,0.00003358468,0.0002967077,0.003858884,0.00008659918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990472,0.002170122,0.0001640434,0.005417274,0.0001056746,0.0001366901,0.000007016108,0.0001381207,0.001389123],"genre_scores_gemma":[0.9946483,0.00131451,0.001190229,0.002259135,0.0001256119,0.00002993845,0.00001326873,0.000008743074,0.0004103075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01880744,"threshold_uncertainty_score":0.3282888,"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."}}