{"id":"W7151402575","doi":"10.70675/592cb94fz05f8z4adez8893z396cfab7f96f","title":"Rôle des facteurs professionnels dans les cancers de la prostate : études EPICAP, PROtEuS et MCC-SPAIN","year":2023,"lang":"","type":"dissertation","venue":"","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Occupational exposure; Prostate cancer; Prostate disease","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":[0.01243887,0.0003063707,0.0007105156,0.002801802,0.001251673,0.002627433,0.000781327,0.0007414988,0.003577503],"category_scores_gemma":[0.015425,0.0003584833,0.0009862318,0.005244127,0.001368884,0.0008811968,0.001794444,0.000814014,0.0003600454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002902419,"about_ca_system_score_gemma":0.006118094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1967179,"about_ca_topic_score_gemma":0.2267978,"domain_scores_codex":[0.9933477,0.002881666,0.0006562055,0.00102548,0.001170009,0.0009189509],"domain_scores_gemma":[0.9844496,0.007415263,0.003853494,0.001346383,0.002295724,0.0006395896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002857189,0.00003114748,0.9610604,0.0009885278,0.0004967179,0.0002168833,0.007274284,0.000244766,0.0002867177,0.001083441,0.00150705,0.02652433],"study_design_scores_gemma":[0.00002019286,0.00008374242,0.9643035,0.0009773609,0.0002813428,0.0002871573,0.01139877,0.0001809404,0.0002667022,0.0005244408,0.02165217,0.00002383783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347181,0.0359337,0.002804841,0.00552939,0.0002244184,0.0001370647,0.006538886,0.00003386602,0.01407975],"genre_scores_gemma":[0.9828263,0.009040556,0.001095894,0.001409145,0.0001054809,0.0001528506,0.001539704,0.00002429053,0.003805942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1967179,"threshold_uncertainty_score":0.3911456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360744036796258,"score_gpt":0.3568547838542298,"score_spread":0.320780380174604,"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."}}