{"id":"W2910986613","doi":"10.3390/ijerph16020271","title":"Breast Cancer and Exposure to Organochlorines in the CECILE Study: Associations with Plasma Levels Measured at the Time of Diagnosis and Estimated during Adolescence","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Institut National Du Cancer; Fondation de France; Ligue Contre le Cancer; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Agence Nationale de la Recherche","keywords":"Breast cancer; Physiologically based pharmacokinetic modelling; Medicine; Incidence (geometry); Epidemiology; Case-control study; Odds ratio; Population; Polychlorinated biphenyl; Physiology; Cancer; Internal medicine; Demography; Environmental health; Pharmacokinetics; Chemistry; Environmental chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.001080974,0.0003973057,0.0003328933,0.001206313,0.0003287002,0.0008296805,0.000402013,0.0009858274,0.0006417261],"category_scores_gemma":[0.002541972,0.000327793,0.0005361563,0.0008275053,0.0003041574,0.0002778711,0.0004552903,0.0005661279,0.0001203201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005865213,"about_ca_system_score_gemma":0.0003562414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366314,"about_ca_topic_score_gemma":0.01824364,"domain_scores_codex":[0.9992372,0.000376355,0.00004011078,0.0001555805,0.00009531858,0.00009545577],"domain_scores_gemma":[0.998096,0.0004527666,0.0007718297,0.0001454311,0.0002798503,0.0002540815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002959801,0.00002909594,0.9985564,0.000004970343,0.00007781519,0.00005434599,0.00002366311,0.00005140264,0.0003088246,0.000009695794,0.00006046069,0.0005271987],"study_design_scores_gemma":[0.000006767515,0.00007195143,0.9992937,0.00000290481,0.00002226028,0.0001900898,0.00003275893,0.0001622462,0.00006735525,0.000005202827,0.0001422638,0.000002568992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986557,0.0004785338,0.0001113941,0.00003586267,0.000004609847,0.000006970751,0.000359174,0.00000431686,0.0003433289],"genre_scores_gemma":[0.9989427,0.0001855831,0.0001160023,0.00002272054,0.000007873921,0.00001136219,0.0004910657,0.000002512155,0.0002201736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02366314,"threshold_uncertainty_score":0.04705077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05192971480993049,"score_gpt":0.3389182518122088,"score_spread":0.2869885370022783,"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."}}