{"id":"W2261258842","doi":"","title":"Canadian truckers leery of copying US plan on GHG","year":2015,"lang":"en","type":"article","venue":"Transport topics","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Copying; Plan (archaeology); Truck; Business; Greenhouse gas; Engineering; Transport engineering; Automotive engineering; Political science; Geography; Geology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002948863,0.00008045684,0.0002131049,0.0001773428,0.00003121986,0.000002071992,0.0001001808,0.0000681066,0.0001183211],"category_scores_gemma":[0.00004470714,0.00006332651,0.00004380916,0.0001963976,0.0001041034,0.00003096526,0.000002018928,0.0001662508,0.00001570797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172912,"about_ca_system_score_gemma":0.0009531055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05329882,"about_ca_topic_score_gemma":0.03722687,"domain_scores_codex":[0.9989085,0.000008576889,0.000175862,0.000148496,0.0004649878,0.0002936064],"domain_scores_gemma":[0.9989397,0.0000138287,0.00002292232,0.000217541,0.00009114828,0.0007148928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002136924,0.00006736092,0.9806368,0.0001167863,0.00003181552,0.0005676055,0.003270501,0.00002243144,0.0003699367,0.0007170429,0.003099808,0.01088626],"study_design_scores_gemma":[0.003532409,0.001209262,0.7734899,0.0002883602,0.00008981346,0.00006528529,0.002289397,0.0001114094,0.004343587,0.0001088393,0.2142778,0.000193961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485288,0.00009868321,0.00003257522,0.002666565,0.0002954041,0.0001864793,0.00001274013,0.00001865724,0.04816007],"genre_scores_gemma":[0.9943035,0.00003515843,0.0002130155,0.001090375,0.0002132739,0.000003089587,0.00003559786,0.000008510934,0.004097543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.211178,"threshold_uncertainty_score":0.9803413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08489449178554966,"score_gpt":0.3193297130094943,"score_spread":0.2344352212239446,"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."}}