{"id":"W6926465961","doi":"10.25318/9810064401-fra","title":"Population ayant travaillé principalement à temps plein pendant la plupart des semaines durant l’année de référence selon la minorité visible, certaines caractéristiques sociodémographiques et l’année de recensement : Canada, régions géographiques du Canada, provinces et territoires et régions métropolitaines de recensement y compris les parties","year":2024,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); German population","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":[0.0008589501,0.001168426,0.001009088,0.003609775,0.001657872,0.001970188,0.002465999,0.00104752,0.02171379],"category_scores_gemma":[0.006592492,0.0006109329,0.0009217761,0.01026036,0.0004755591,0.0007107859,0.001100729,0.001554224,0.01141693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01677641,"about_ca_system_score_gemma":0.03717163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9788966,"about_ca_topic_score_gemma":0.9852909,"domain_scores_codex":[0.9990815,0.00005250809,0.0000809411,0.0001780549,0.0003329398,0.000274042],"domain_scores_gemma":[0.9958336,0.000331427,0.0002918143,0.0002889746,0.002870648,0.0003835059],"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":[0.00006035967,0.00002220589,0.01161185,0.0002385446,0.00004199514,0.00002261582,0.00008947778,0.0004348618,0.00004708646,0.0006905457,0.983888,0.002852514],"study_design_scores_gemma":[0.0003476256,0.00001796657,0.1680188,0.0005203566,0.00008070709,0.00007867693,0.0007812801,0.00138531,0.0004087843,0.0007469189,0.8275382,0.00007527565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005844305,0.00004131494,0.00003770949,0.0000823201,0.0000116499,0.00001306505,0.9983341,0.0000561232,0.000839348],"genre_scores_gemma":[0.002853906,0.0001006345,0.0003045837,0.00006171309,0.000007116093,0.00008748692,0.9931833,0.00002851167,0.003372672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02171379,"threshold_uncertainty_score":0.121722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834475959219064,"score_gpt":0.3307272616301046,"score_spread":0.302382502037914,"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."}}