{"id":"W2018376023","doi":"10.1002/ijc.27603","title":"Canadian breast implant cohort: Extended follow‐up of cancer incidence","year":2012,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Université Laval; Health Canada; Centre hospitalier universitaire de Québec; Public Health Agency of Canada","funders":"Health Canada","keywords":"Medicine; Breast cancer; Implant; Incidence (geometry); Rate ratio; Cohort; Cohort study; Confidence interval; Population; Breast implant; Breast augmentation; Cancer; Gynecology; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009042891,0.0004170447,0.0005629175,0.001757045,0.00191546,0.0007233666,0.0009376495,0.0004266335,0.001911088],"category_scores_gemma":[0.001642505,0.0003972422,0.000817729,0.003758703,0.0002671411,0.0003480258,0.0007465019,0.0005809687,0.0003397859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01057806,"about_ca_system_score_gemma":0.01237631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9790061,"about_ca_topic_score_gemma":0.9833772,"domain_scores_codex":[0.9992272,0.00004937022,0.00004051814,0.000157132,0.0003321998,0.0001936066],"domain_scores_gemma":[0.9984273,0.00005964746,0.0002253869,0.0001445882,0.0009121763,0.00023094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003070236,0.0000330162,0.9880046,0.00008003324,0.0002540688,0.0001440693,0.0003374549,0.0002251326,0.0007048271,0.0001418434,0.00328089,0.006487078],"study_design_scores_gemma":[0.00001342407,0.00003018929,0.9973406,0.00001276106,0.00004930469,0.00007987966,0.0001115242,0.0001843298,0.00006499449,0.00001427861,0.002088288,0.00001041927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593967,0.001487671,0.0006405985,0.0003400501,0.0000310903,0.0001645899,0.03457332,0.0000465075,0.003319454],"genre_scores_gemma":[0.9775618,0.0009896496,0.0007374471,0.0001886311,0.00002005452,0.00009865977,0.01815451,0.00001868214,0.002230541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02099389,"threshold_uncertainty_score":0.07674962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211728997527407,"score_gpt":0.3122806472865248,"score_spread":0.3001633573112507,"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."}}