{"id":"W6907621194","doi":"10.25318/3310012401-fra","title":"Industrie de l'enregistrement sonore, caractéristiques sommaires des sociétés selon les recettes des sociétés","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":"Poison control; Frequency spectrum; Submersion (mathematics)","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":[0.0009683694,0.001560416,0.00116996,0.008764572,0.001219081,0.002735681,0.001683916,0.0009178887,0.03725096],"category_scores_gemma":[0.009421637,0.0006763496,0.001031009,0.02040928,0.0005151257,0.001244053,0.001080036,0.001629539,0.030831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0111617,"about_ca_system_score_gemma":0.02066278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8560631,"about_ca_topic_score_gemma":0.9090326,"domain_scores_codex":[0.9981787,0.0001498589,0.000197816,0.000424294,0.0007440884,0.0003052691],"domain_scores_gemma":[0.9922375,0.001169103,0.0005899749,0.0006888963,0.004883137,0.0004313707],"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":[0.0000605881,0.00001648543,0.007739214,0.0005736653,0.00003918309,0.00001798795,0.00008267736,0.0003231431,0.00008419682,0.0006386551,0.9850031,0.005421079],"study_design_scores_gemma":[0.00007327002,0.00001047748,0.06339283,0.0003728904,0.00004361381,0.00004492956,0.0003813139,0.0004320094,0.0003972942,0.0004743084,0.9343253,0.00005178408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004310937,0.0001133717,0.00005183964,0.00007548287,0.00001831217,0.00000897985,0.9975902,0.0001192785,0.001591374],"genre_scores_gemma":[0.001629232,0.0002205827,0.0003388734,0.00003890929,0.00001022315,0.00005540017,0.9945583,0.0000538483,0.003094725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1439369,"threshold_uncertainty_score":0.289569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05586076003684132,"score_gpt":0.3687282997576508,"score_spread":0.3128675397208095,"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."}}