{"id":"W6907604487","doi":"10.25318/2710031501-fra","title":"Utilisation de pratiques de gestion de la qualité, selon l'industrie et la taille de l'entreprise","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Field (mathematics); Identification (biology)","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":[0.002040092,0.001537713,0.001397125,0.006159933,0.0009701429,0.00205933,0.00258225,0.001332575,0.01365785],"category_scores_gemma":[0.01432786,0.00061674,0.001554079,0.01512075,0.0004700466,0.001162619,0.001510529,0.002064127,0.01001662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01172858,"about_ca_system_score_gemma":0.02174055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8833751,"about_ca_topic_score_gemma":0.9062981,"domain_scores_codex":[0.9979907,0.0002226123,0.0002840349,0.0003517684,0.0007325416,0.0004183644],"domain_scores_gemma":[0.9894235,0.001413525,0.0009863807,0.0006280933,0.006858243,0.0006903113],"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":[0.000107999,0.00002760147,0.01626869,0.0009060567,0.00009663848,0.00001704614,0.0001120858,0.0004745557,0.0000505285,0.0008079042,0.9762167,0.004914186],"study_design_scores_gemma":[0.0002663359,0.00002506756,0.1827062,0.001451985,0.0001715311,0.00006657515,0.0007807307,0.001008674,0.0003589603,0.0009148504,0.8121457,0.0001034899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005231498,0.0001602503,0.00003921691,0.00009736632,0.00001706919,0.00000907441,0.9985762,0.00004007297,0.0005377297],"genre_scores_gemma":[0.002434661,0.0002482407,0.0002594904,0.00006614056,0.00001268897,0.00009601631,0.9949387,0.00002595106,0.001918079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1166249,"threshold_uncertainty_score":0.2346234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411018401976803,"score_gpt":0.3181822407916496,"score_spread":0.3040720567718816,"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."}}