{"id":"W6969122001","doi":"10.5683/sp3/iusurx","title":"Enquête sur la population active, mars 2022 [Canada] [Remanié 2025]","year":2022,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Population; Sugar industry; Research methodology; Social interest","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":[0.002664734,0.0008749182,0.0006028549,0.003351376,0.001828934,0.002747515,0.001626058,0.0007947629,0.009312709],"category_scores_gemma":[0.006060684,0.0004223205,0.0009368981,0.007609124,0.0004065857,0.0006981579,0.001219998,0.001664261,0.002793169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03676438,"about_ca_system_score_gemma":0.07807358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994535,"about_ca_topic_score_gemma":0.993445,"domain_scores_codex":[0.9981812,0.0001203995,0.0001082735,0.0002041609,0.001051989,0.0003339385],"domain_scores_gemma":[0.9928179,0.0001524336,0.0001810866,0.00009563709,0.006122058,0.0006309352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001881987,0.00003048484,0.04519069,0.0009641883,0.0002127808,0.00007418998,0.0004548533,0.001596657,0.0002119311,0.004599217,0.8944388,0.05203796],"study_design_scores_gemma":[0.0000748687,0.00004523722,0.3186183,0.0007979273,0.0001380566,0.00004542169,0.0007844344,0.001458917,0.0003445008,0.000546285,0.677064,0.00008197568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01054288,0.008518541,0.002212788,0.008030325,0.001290353,0.0002821544,0.9261273,0.0004168228,0.04257892],"genre_scores_gemma":[0.1085067,0.01522312,0.009188123,0.006501185,0.0005306449,0.001039959,0.7795518,0.0002456355,0.07921288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03676438,"threshold_uncertainty_score":0.2667455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04931948726682124,"score_gpt":0.3232487416364438,"score_spread":0.2739292543696226,"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."}}