{"id":"W4212859541","doi":"10.1163/9789004322714_cclc_2018-0028-002","title":"New regulations ensure Canada’s freight industry will continue to be competitive while less polluting","year":2019,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization; Agricultural economics; Commerce; Economics","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":[0.001192287,0.002098123,0.001116716,0.00700831,0.00159336,0.003075845,0.002460334,0.002212125,0.03810531],"category_scores_gemma":[0.0083972,0.0008636461,0.00158078,0.01290121,0.0005978981,0.001059194,0.001662532,0.002097108,0.03852059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00748662,"about_ca_system_score_gemma":0.01423923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7768285,"about_ca_topic_score_gemma":0.8670043,"domain_scores_codex":[0.9985839,0.0001091066,0.0001265906,0.0002495346,0.0005286756,0.0004022125],"domain_scores_gemma":[0.993857,0.0008062852,0.0005356186,0.0007453812,0.003445398,0.0006102975],"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":[0.00003389899,0.00001177547,0.001886356,0.0002463516,0.00002075845,0.00001215798,0.00001835673,0.0002226173,0.00003758293,0.0004021896,0.9957116,0.001396417],"study_design_scores_gemma":[0.0001445662,0.00001143083,0.02342359,0.0003955477,0.00004954991,0.00003234326,0.0001711461,0.0007118633,0.0003252708,0.0008065591,0.9738863,0.00004186056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001082735,0.00002638444,0.00001841267,0.00005867119,0.00001357967,0.000003841802,0.9992393,0.00005980082,0.0004717196],"genre_scores_gemma":[0.0004508161,0.00004497955,0.0001347377,0.00004862842,0.000004469496,0.00002415281,0.998176,0.00002667951,0.001089589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2231715,"threshold_uncertainty_score":0.4489715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05184035810673172,"score_gpt":0.2326388552312139,"score_spread":0.1807984971244821,"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."}}