{"id":"W6931605941","doi":"10.5683/sp3/xgvgan","title":"Enquête sur la santé dans les collectivités canadiennes, 2005 : Cycle 3.1, Composante HSS2","year":2006,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Information center; German Federal Republic; Ile de france","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001830558,0.00242463,0.002494023,0.001206254,0.001233446,0.000576053,0.002522708,0.001996103,0.0009792296],"category_scores_gemma":[0.0006667202,0.002804326,0.0007987432,0.001647601,0.001718354,0.0005441079,0.0006517237,0.002087772,0.001437817],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004552235,"about_ca_system_score_gemma":0.002885488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883028,"about_ca_topic_score_gemma":0.9987976,"domain_scores_codex":[0.987783,0.002796363,0.001803008,0.002376584,0.001578358,0.003662707],"domain_scores_gemma":[0.9911861,0.002059854,0.001393457,0.00350038,0.0004892497,0.001370893],"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":[0.0002992968,0.001418755,0.001184009,0.0004690086,0.0008031867,0.003469606,0.0006224916,0.0007914318,0.0005116968,0.0003251239,0.9881886,0.001916772],"study_design_scores_gemma":[0.002301576,0.0002097315,0.01684644,0.0008344333,0.001332077,0.0009845792,0.0003740724,0.001339201,0.0002333382,0.00007426328,0.9727115,0.002758787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002541042,0.004237344,0.00003146934,0.0001959239,0.0006484608,0.001810374,0.9527545,0.0003851869,0.03739569],"genre_scores_gemma":[0.001013375,0.001180929,0.0002928542,0.0001286814,0.00156471,0.0003455441,0.9874405,0.0008410367,0.0071924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03468596,"threshold_uncertainty_score":0.999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077793065360001,"score_gpt":0.2545254988215719,"score_spread":0.2437475681679719,"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."}}