{"id":"W2888972176","doi":"","title":"TRANSITIONING TO FULL-FIELD DIGITAL MAMMOGRAPHY: THE IMPACT OF TECHNOLOGY CHANGE ON MAMMOGRAPHY VOLUMES IN NOVA SCOTIA","year":2018,"lang":"en","type":"article","venue":"","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Mammography; Nova (rocket); Field (mathematics); Digital mammography; Medicine; Geography; Archaeology; Engineering; Breast cancer; Cancer; Mathematics","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":[0.0004559505,0.0001457384,0.0001992912,0.0005270085,0.000886623,0.001341197,0.0007291058,0.0007045779,0.002537403],"category_scores_gemma":[0.003699607,0.0001814119,0.000414635,0.001060938,0.0007129761,0.000464784,0.001465991,0.0008855006,0.0001934938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01708067,"about_ca_system_score_gemma":0.02018707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9553099,"about_ca_topic_score_gemma":0.9722836,"domain_scores_codex":[0.9991034,0.0001239769,0.00005974013,0.00006888702,0.0001262797,0.0005177034],"domain_scores_gemma":[0.9973999,0.0003048543,0.0007013777,0.00005061483,0.000552845,0.0009903101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003965428,0.0001157935,0.9797609,0.0001276673,0.00004958343,0.001554002,0.002545533,0.0006427404,0.001065709,0.0005697645,0.00234292,0.01082876],"study_design_scores_gemma":[0.000006551518,0.00002910762,0.9963,0.00003552687,0.000006519811,0.00009007397,0.002547309,0.0002126346,0.00004868009,0.00003079789,0.000686805,0.000005899102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934366,0.0004833611,0.00003730513,0.003228712,0.00003709773,0.00002056,0.001037162,0.000004692265,0.00171444],"genre_scores_gemma":[0.9975259,0.0003451526,0.0000554155,0.0004630583,0.00001091398,0.00001025989,0.0003130939,0.000002502425,0.001273647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04469007,"threshold_uncertainty_score":0.1239295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05294524678994177,"score_gpt":0.3496296879233791,"score_spread":0.2966844411334373,"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."}}