{"id":"W6950635012","doi":"10.5683/sp3/pelarc","title":"Enquête sur la population active, juillet 2017 [Canada] [Remanié 2025]","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Cardiac tumors and thrombi","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Population; Research methodology; Publics; Ethnic community","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002494754,0.000899248,0.0007633759,0.004149848,0.00202016,0.00307117,0.001701449,0.0007699266,0.01362066],"category_scores_gemma":[0.00669222,0.0004656268,0.0009377348,0.009200759,0.0004888321,0.0007975514,0.001479332,0.001843198,0.004273005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03755058,"about_ca_system_score_gemma":0.0925002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939903,"about_ca_topic_score_gemma":0.9927458,"domain_scores_codex":[0.9976864,0.0001230653,0.000137346,0.0002413684,0.001374135,0.0004377111],"domain_scores_gemma":[0.9908722,0.0002043266,0.0002158088,0.0001185552,0.007865705,0.0007234722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001350864,0.0000212933,0.02736872,0.0007949303,0.0001293781,0.00005157265,0.0003505534,0.0008098037,0.0001387559,0.002688342,0.9319661,0.03554561],"study_design_scores_gemma":[0.00007448272,0.00003380144,0.2143347,0.0008383703,0.0001138025,0.00003806542,0.0009236429,0.0008355057,0.0003872242,0.0004581675,0.7818881,0.00007412077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006756909,0.005015958,0.001327412,0.005439163,0.001110358,0.0002217884,0.9452169,0.0004005316,0.03451099],"genre_scores_gemma":[0.05970557,0.01224342,0.004922779,0.004600975,0.0004717652,0.0008726584,0.8370785,0.0003151244,0.0797892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03755058,"threshold_uncertainty_score":0.2724499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740961815537981,"score_gpt":0.2773822128464259,"score_spread":0.2599725946910461,"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."}}