{"id":"W6907440254","doi":"10.25318/3410016901-fra","title":"Durée de vie utile moyenne prévue des nouveaux actifs routiers de propriété publique sous forme de ponts et de tunnels, Infrastructure Canada","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Context (archaeology); Order (exchange)","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":[0.0005149031,0.0008537271,0.0006452638,0.003875989,0.0009365113,0.001991772,0.00110669,0.0007005746,0.01134125],"category_scores_gemma":[0.005412349,0.0003463009,0.0008074274,0.009222741,0.0004254757,0.0008987676,0.000688279,0.001221522,0.005730266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007756053,"about_ca_system_score_gemma":0.01200012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9196236,"about_ca_topic_score_gemma":0.9562303,"domain_scores_codex":[0.9993154,0.00005463026,0.0000608067,0.0001823689,0.0002430967,0.000143745],"domain_scores_gemma":[0.9971852,0.0004618713,0.0002452491,0.0002513065,0.001621589,0.0002348971],"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":[0.0001918071,0.0000439467,0.05169311,0.0008425906,0.0001514945,0.00006805281,0.000237911,0.003633019,0.0002058803,0.001984397,0.9267071,0.01424063],"study_design_scores_gemma":[0.0001308463,0.00002556196,0.2727481,0.0004655485,0.0001111731,0.0001385269,0.001109147,0.004435103,0.0007446543,0.001483753,0.7184903,0.0001172803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004495759,0.0002848485,0.0001340682,0.0001392392,0.00002058094,0.000009963211,0.9922464,0.0001754188,0.002493736],"genre_scores_gemma":[0.0140313,0.0004006675,0.000563662,0.0000477166,0.00001067703,0.00003752824,0.9804493,0.00005945851,0.004399735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08037639,"threshold_uncertainty_score":0.1616994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004541353465918925,"score_gpt":0.2313604071479948,"score_spread":0.2268190536820759,"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."}}