{"id":"W6926476715","doi":"10.25318/3410006801-fra","title":"Stocks d’actifs routiers de propriété publique selon l’année de construction, Infrastructure Canada, inactif","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Payment; Context (archaeology); Investment (military)","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":[0.0008057952,0.00155726,0.001307689,0.006407423,0.001132293,0.002772012,0.002375147,0.001170159,0.02091261],"category_scores_gemma":[0.008042073,0.0006983841,0.001085714,0.01741737,0.0005398958,0.0009892588,0.001172729,0.0018904,0.01672818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01043316,"about_ca_system_score_gemma":0.02241677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9197445,"about_ca_topic_score_gemma":0.9501098,"domain_scores_codex":[0.9987655,0.00007540004,0.0001331841,0.000275504,0.0004791564,0.0002713077],"domain_scores_gemma":[0.9952971,0.0005860148,0.0005424684,0.0003971449,0.002774986,0.0004023555],"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":[0.00005611907,0.00001587674,0.009102182,0.0004347565,0.00006857438,0.00002289579,0.00004856979,0.0006053307,0.00004966969,0.0008173695,0.9856685,0.003110125],"study_design_scores_gemma":[0.0001599433,0.00001040653,0.06562047,0.0004483074,0.0000712796,0.0000759253,0.0003161535,0.001026355,0.0003320718,0.0008461381,0.9310331,0.00005995547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002478661,0.00007164848,0.00002485353,0.00004651987,0.000008966876,0.000003416678,0.9990847,0.00005271533,0.0004593602],"genre_scores_gemma":[0.001261865,0.0001271707,0.0001522339,0.00002766901,0.000005597128,0.00002186006,0.9971278,0.00002055263,0.001255308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08025551,"threshold_uncertainty_score":0.1614562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007989239375553812,"score_gpt":0.2713094621384989,"score_spread":0.2633202227629451,"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."}}