{"id":"W1977651454","doi":"10.1016/s0140-6736(04)17121-3","title":"What should the burden of proof be for acceptance of a new breast-cancer screening technique?","year":2004,"lang":"en","type":"article","venue":"The Lancet","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mammography; Medicine; Breast cancer; Breast cancer screening; Medical physics; Modality (human–computer interaction); Digital mammography; Modalities; Clinical trial; Family medicine; Cancer; Computer science; Pathology; Internal medicine; Artificial intelligence","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":["metaresearch"],"category_scores_codex":[0.1911365,0.001610963,0.004955946,0.004589256,0.004392849,0.02125562,0.006972556,0.06374408,0.03086201],"category_scores_gemma":[0.5355362,0.001380039,0.003684792,0.002561966,0.02333492,0.04170796,0.005479257,0.02765376,0.01190318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008827032,"about_ca_system_score_gemma":0.02325039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004755367,"about_ca_topic_score_gemma":0.003642315,"domain_scores_codex":[0.9044692,0.04309822,0.009023144,0.006187503,0.03234443,0.004877537],"domain_scores_gemma":[0.3429807,0.4566603,0.0536911,0.02733386,0.09191428,0.02741977],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002120654,0.000421916,0.009999249,0.004698919,0.001070818,0.001262274,0.0007440561,0.0010918,0.001239349,0.2105198,0.536113,0.2307182],"study_design_scores_gemma":[0.001228014,0.0006525363,0.01109963,0.01105995,0.0008079447,0.003119335,0.002178927,0.002273481,0.001072809,0.347341,0.6185516,0.0006146959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001572875,0.02273828,0.002400179,0.9554531,0.01137688,0.00003550664,0.0002352976,0.00008549038,0.006102315],"genre_scores_gemma":[0.1323078,0.05295166,0.01763034,0.7104715,0.07538272,0.0004720987,0.0007406847,0.0003700012,0.009673124],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8088635,"threshold_uncertainty_score":0.9974728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1732041632914075,"score_gpt":0.3985582084152622,"score_spread":0.2253540451238547,"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."}}