{"id":"W6964041815","doi":"10.25318/2310016001-eng","title":"Canadian vehicle survey, vehicle-kilometres, by type of vehicle and driver age group, annual","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Table (database); Vehicle type; Tonne","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":[0.0007985883,0.001584997,0.001375138,0.006951721,0.001777065,0.00231976,0.002860873,0.0007189134,0.05526401],"category_scores_gemma":[0.006850694,0.0008346022,0.0009717594,0.02591258,0.0003978968,0.00122507,0.0009740666,0.001503831,0.03470168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02090333,"about_ca_system_score_gemma":0.04123951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855909,"about_ca_topic_score_gemma":0.987934,"domain_scores_codex":[0.9983663,0.00006670401,0.0001579236,0.0002644687,0.0008445863,0.0003001305],"domain_scores_gemma":[0.9937637,0.0002680256,0.000327848,0.0002805543,0.004990569,0.0003692954],"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":[0.00001749709,0.000008048145,0.002211604,0.0002201907,0.00001726795,0.000009460315,0.00002260426,0.000139067,0.00001436513,0.0003994638,0.9950469,0.001893556],"study_design_scores_gemma":[0.0000874562,0.00001176628,0.0626693,0.0004612848,0.00005398894,0.00004403101,0.0003870541,0.0004808435,0.0001814023,0.0004411316,0.9351319,0.00004990042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001305349,0.00004917342,0.00002230293,0.00003879731,0.0000141495,0.000009546095,0.998667,0.0000318665,0.001036604],"genre_scores_gemma":[0.001257878,0.000215669,0.00021007,0.00004394124,0.000007894851,0.00004898756,0.9947821,0.00003123648,0.003402206],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05526401,"threshold_uncertainty_score":0.1848766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104832581927232,"score_gpt":0.2648481938347716,"score_spread":0.2543649356420484,"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."}}