{"id":"W6926714144","doi":"10.25318/13250006-fra","title":"Enquête sur les expériences vécues par les travailleurs de la santé pendant la pandémie : fichier de microdonnées à grande diffusion","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Renewable Energy and Sustainability","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work safety; Qualitative analysis; Statistical analysis","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":[0.003363091,0.0007310274,0.0007842701,0.003772294,0.002240962,0.002866863,0.002102506,0.001553785,0.02517758],"category_scores_gemma":[0.02026592,0.0005409616,0.000918124,0.01135011,0.0006349237,0.001371606,0.00215201,0.002812285,0.008905713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01808216,"about_ca_system_score_gemma":0.03668814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8915796,"about_ca_topic_score_gemma":0.9231009,"domain_scores_codex":[0.9971554,0.00051349,0.0003476953,0.0003578341,0.001034983,0.000590513],"domain_scores_gemma":[0.9850995,0.003184587,0.0009389016,0.00106884,0.008511668,0.00119658],"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":[0.0000880692,0.00002671204,0.008137061,0.0005869218,0.00002573511,0.00004562461,0.0009092615,0.000118681,0.00004669832,0.001702615,0.979766,0.008546761],"study_design_scores_gemma":[0.00007360106,0.00001734969,0.07155894,0.001205713,0.00003590893,0.00004691235,0.003437222,0.0001849041,0.0001770791,0.0006885822,0.9225227,0.00005109932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001778984,0.0003721328,0.0001751988,0.001509758,0.000122901,0.00008347726,0.991061,0.00006655679,0.004829912],"genre_scores_gemma":[0.01164679,0.001067589,0.001624236,0.0008986858,0.00007749364,0.0009534614,0.9684963,0.0001161577,0.0151194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1084204,"threshold_uncertainty_score":0.2181178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005494856280718435,"score_gpt":0.2506758462181993,"score_spread":0.2451809899374809,"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."}}