{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008568263,0.0007805207,0.0007253721,0.0001881695,0.0003350639,0.0002779656,0.000642171,0.0006602855,0.0004701448],"category_scores_gemma":[0.003583664,0.0009302911,0.00006663904,0.0004341151,0.0001004046,0.0004013209,0.0000981242,0.001045964,0.000003284038],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02413867,"about_ca_system_score_gemma":0.03192063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9524094,"about_ca_topic_score_gemma":0.9980923,"domain_scores_codex":[0.9957076,0.0004007158,0.0009289204,0.0006039778,0.0008131478,0.001545687],"domain_scores_gemma":[0.9964905,0.0008549284,0.0004751474,0.0007060767,0.0005876836,0.0008856364],"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":[0.0000397841,0.00004509947,0.001930423,0.002656526,0.0001574679,0.0001605637,0.001067748,0.1447643,0.00009307879,0.001248224,0.8461182,0.001718554],"study_design_scores_gemma":[0.0009955898,0.0001361365,0.06898057,0.001111863,0.0004351073,0.0003506081,0.003876795,0.3313078,0.0006341175,0.001330489,0.5885861,0.00225483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001985934,0.0002113941,0.3589861,0.0002996102,0.001278785,0.0007640749,0.6361979,0.00004546726,0.0002307449],"genre_scores_gemma":[0.2207494,0.0005293267,0.03451824,0.0005930518,0.0001203605,0.0001899223,0.7420778,0.0001817786,0.001040186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3244679,"threshold_uncertainty_score":0.9993148,"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."}}