{"id":"W6907715075","doi":"10.25318/3410017101-fra","title":"Pratiques de gestion des actifs routiers de propriété publique sous forme de ponts et de tunnels, Infrastructure Canada, inactif","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":"Work (physics); Public management; Context (archaeology); Government (linguistics)","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":[0.001273458,0.001422119,0.001142173,0.006288012,0.001089659,0.002693196,0.002309041,0.001327979,0.02656608],"category_scores_gemma":[0.01364133,0.0007339704,0.001265048,0.0168929,0.0005517485,0.001291408,0.001416905,0.002147516,0.01396822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01572439,"about_ca_system_score_gemma":0.03483803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9590627,"about_ca_topic_score_gemma":0.9691482,"domain_scores_codex":[0.9982159,0.0001702237,0.0002057803,0.000309839,0.0006930834,0.000405293],"domain_scores_gemma":[0.9912916,0.001375403,0.0008286551,0.0005462274,0.005294506,0.0006636566],"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":[0.00005888367,0.00002114928,0.01300883,0.0007328552,0.00006379084,0.00002843166,0.0001459947,0.0008697863,0.00005378873,0.001229336,0.980026,0.003761123],"study_design_scores_gemma":[0.0001937652,0.00001585853,0.1222343,0.001015391,0.00008911196,0.00007244239,0.0009463072,0.001655245,0.0003498623,0.001212154,0.8721231,0.00009255287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003770652,0.00009094684,0.00003522898,0.00009860632,0.00001087597,0.000007109804,0.9986273,0.00004990619,0.000702953],"genre_scores_gemma":[0.002508316,0.0002275672,0.0002645567,0.00005012561,0.000008310381,0.00006655356,0.9942343,0.00003461464,0.002605672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0409373,"threshold_uncertainty_score":0.114089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008240298387996134,"score_gpt":0.2680616220790579,"score_spread":0.2598213236910618,"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."}}