{"id":"W7008916578","doi":"","title":"D'autres messages suivront. Modéllisation des interruptions de service du métro de Montréal","year":2022,"lang":"fr","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Service (business); Service provider; Context (archaeology); Subject (documents); Identification (biology)","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":[0.003952619,0.0007465055,0.0003621933,0.0009443685,0.006008025,0.006700407,0.002151112,0.006168606,0.1595331],"category_scores_gemma":[0.01321901,0.0005360548,0.0009457888,0.001413903,0.001751635,0.003381753,0.002486743,0.006034838,0.01566864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02122706,"about_ca_system_score_gemma":0.02556122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8633775,"about_ca_topic_score_gemma":0.8991756,"domain_scores_codex":[0.9957637,0.0007915588,0.0001117273,0.0006296459,0.001860877,0.0008424955],"domain_scores_gemma":[0.9913726,0.001804822,0.0004887262,0.0005238256,0.004189604,0.001620502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009383896,0.00005909189,0.007045879,0.0001748239,0.00002457357,0.0002842978,0.004828299,0.001005333,0.001088292,0.03229944,0.8988075,0.05428865],"study_design_scores_gemma":[0.0000217093,0.00001407499,0.006810667,0.00006715226,0.00001138639,0.00005928547,0.001927663,0.0006551897,0.0003925111,0.0008864527,0.9891072,0.00004679229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01486563,0.002918442,0.01144921,0.7499725,0.01766362,0.0002852519,0.005708079,0.001915636,0.1952216],"genre_scores_gemma":[0.1032933,0.002424257,0.004745902,0.0661092,0.001935696,0.0002846973,0.001332682,0.0008733541,0.8190008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1595331,"threshold_uncertainty_score":0.5336915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611528125352615,"score_gpt":0.2145917729733859,"score_spread":0.1984764917198598,"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."}}