{"id":"W7019113399","doi":"","title":"Évaluation des bénéfices environnementaux potentiels des véhicules connectés au Canada","year":2017,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); 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":[0.001466763,0.0007432895,0.0004940545,0.001759017,0.001955665,0.002166238,0.0007853365,0.0006880695,0.007510482],"category_scores_gemma":[0.003784875,0.0002164004,0.0007334477,0.002475761,0.0007312786,0.0006267707,0.00122256,0.0004622071,0.0008731817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01923212,"about_ca_system_score_gemma":0.03505135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9471645,"about_ca_topic_score_gemma":0.9713715,"domain_scores_codex":[0.9984828,0.0002097054,0.00002460095,0.0001590396,0.0008156713,0.0003082146],"domain_scores_gemma":[0.9973425,0.0003536137,0.0001023683,0.00006896053,0.001753002,0.0003795662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00808051,0.00292676,0.2637604,0.002510742,0.001463898,0.001111324,0.004854552,0.07830629,0.0425668,0.01479237,0.02766657,0.5519598],"study_design_scores_gemma":[0.0008296323,0.007947369,0.7356451,0.001105403,0.001598204,0.0002526179,0.01717322,0.03024608,0.03806569,0.002208649,0.1645682,0.000359836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302436,0.001746532,0.003405923,0.0004910121,0.00008236565,0.000770858,0.003186163,0.0002065444,0.05986702],"genre_scores_gemma":[0.9301711,0.001718139,0.005717004,0.0001450648,0.00001574893,0.0004036507,0.002217693,0.00006283692,0.05954865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05283546,"threshold_uncertainty_score":0.1395394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210383743626082,"score_gpt":0.2405745564190162,"score_spread":0.219536182056408,"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."}}