{"id":"W4366425395","doi":"10.1177/09544097231169420","title":"Incentivized decarbonization through safer and more efficient heavy haul operations","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Pacific Railway (Canada); Simon Fraser University","funders":"","keywords":"Greenhouse gas; SAFER; Incentive; Service (business); Asset (computer security); Business; Reliability (semiconductor); Environmental economics; Transport engineering; Environmental science; Engineering; Operations management; Computer science; Economics; Marketing; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002964309,0.00009957229,0.0002129816,0.00008798614,0.00008993312,0.00001412043,0.00009806843,0.00007245824,0.000006506342],"category_scores_gemma":[0.00003702165,0.00006819203,0.00007031737,0.0003613008,0.00008016697,0.0001941947,0.00001855952,0.0001684681,2.784234e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000149071,"about_ca_system_score_gemma":0.00002376502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001728054,"about_ca_topic_score_gemma":3.661644e-7,"domain_scores_codex":[0.9992259,0.000003759257,0.0003754859,0.00007033294,0.0002126369,0.0001119101],"domain_scores_gemma":[0.9996554,0.00001887308,0.00006306097,0.00003853785,0.0001623775,0.00006179675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001771973,0.00009454028,0.0001535212,0.0007510606,0.00020399,0.000001942222,0.002853095,0.7583945,0.2158657,0.01409338,0.0006168227,0.006794285],"study_design_scores_gemma":[0.001730873,0.0001454608,0.0008500686,0.0007910334,0.0001220085,0.00008311633,0.0004488477,0.8037698,0.1881846,0.0001847426,0.003504915,0.0001845443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876311,0.0006563173,0.01021092,0.0008901426,0.0003473494,0.0001104096,0.000007649737,0.0000308536,0.0001151963],"genre_scores_gemma":[0.9971128,0.00190388,0.0008948875,0.00001467956,0.00005122225,0.000001916613,9.440974e-7,0.0000084412,0.00001126458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04537533,"threshold_uncertainty_score":0.278079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096435855333809,"score_gpt":0.2138943241330535,"score_spread":0.2029299655797154,"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."}}