{"id":"W6963804453","doi":"10.25318/2310013201-fra","title":"Enquête sur les véhicules au Canada, carburant acheté, selon le type de véhicule et le type de carburant, trimestriel","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":"Type (biology); ISO 14000","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":[0.0006482157,0.001493947,0.001165159,0.006600188,0.001347998,0.002145876,0.001728998,0.001177379,0.03129835],"category_scores_gemma":[0.005830332,0.0005862648,0.001315777,0.01813579,0.0005304059,0.001229255,0.0009984073,0.001412085,0.02115389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009890383,"about_ca_system_score_gemma":0.01847207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9022033,"about_ca_topic_score_gemma":0.9418508,"domain_scores_codex":[0.9988673,0.00007392501,0.0001238937,0.0002646365,0.0004600989,0.0002102835],"domain_scores_gemma":[0.9957662,0.0005841913,0.0002725137,0.0003573468,0.002789174,0.0002305596],"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":[0.0001128861,0.00002129471,0.0061025,0.001091922,0.00006259054,0.00004031544,0.00006883817,0.0005613446,0.0001700117,0.0008014851,0.9846556,0.00631136],"study_design_scores_gemma":[0.00007941975,0.00001473133,0.03428163,0.0005311206,0.00005935368,0.00004829057,0.0003805285,0.0005232185,0.0005145684,0.0004940853,0.9630243,0.00004870939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004033179,0.0001608438,0.00004993779,0.00007291826,0.00001634124,0.000008281714,0.9976903,0.00009441167,0.001503634],"genre_scores_gemma":[0.001497696,0.0003258042,0.0002695744,0.000049783,0.000006317632,0.00003374721,0.9946253,0.00003716741,0.003154588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09779668,"threshold_uncertainty_score":0.1967452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297248447979214,"score_gpt":0.2614822060274325,"score_spread":0.2485097215476404,"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."}}