{"id":"W7098679614","doi":"","title":"Measuring Motor Vehicle Fuel Consumption in Canada","year":2015,"lang":"en","type":"article","venue":"","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuel efficiency; Context (archaeology); Consumption (sociology); Motor fuel; Greenhouse gas; Survey data collection; Survey research","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":[0.00766796,0.0003731099,0.0003462261,0.002326025,0.00140899,0.001046299,0.001547499,0.0003112042,0.004465339],"category_scores_gemma":[0.01938866,0.000284883,0.0005901626,0.005008908,0.0004531352,0.0003306088,0.0007840758,0.0004869774,0.0009750234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0190425,"about_ca_system_score_gemma":0.030034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.963446,"about_ca_topic_score_gemma":0.9601551,"domain_scores_codex":[0.9914243,0.001743254,0.0007793605,0.0006377348,0.004414796,0.001000573],"domain_scores_gemma":[0.9847745,0.001448775,0.001077883,0.0004352759,0.01168334,0.0005801634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005692483,0.000417917,0.8667614,0.0004270099,0.000271108,0.00009049306,0.002891063,0.001612301,0.001382313,0.00184087,0.02889801,0.09483827],"study_design_scores_gemma":[0.00003111271,0.0002271907,0.980323,0.00004868404,0.00003009319,0.00003468872,0.001464737,0.0008297617,0.0009099502,0.00006313487,0.01601089,0.00002676156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8220951,0.001759976,0.005891716,0.001645136,0.0002103188,0.006741988,0.09242529,0.0005053377,0.06872514],"genre_scores_gemma":[0.9296099,0.00105329,0.01310946,0.0007441876,0.00002828196,0.00432708,0.02672002,0.00007794338,0.02432987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03655398,"threshold_uncertainty_score":0.1381636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0832888836831531,"score_gpt":0.2564505222546967,"score_spread":0.1731616385715436,"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."}}