{"id":"W4388945932","doi":"10.3390/world4040050","title":"Preferences for Alternative Fuel Trucks among International Transport Companies","year":2023,"lang":"en","type":"article","venue":"World","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Truck; Multinomial logistic regression; Business; Greenhouse gas; Market share; Alternative fuel vehicle; Consumption (sociology); Environmental economics; Industrial organization; Transport engineering; Marketing; Economics; Engineering; Alternative fuels","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005944634,0.00006918579,0.00007633556,0.0001068973,0.0000348555,0.00001379902,0.0001356791,0.00001692733,0.0001472868],"category_scores_gemma":[0.000003082991,0.00006181544,0.00003597024,0.0001583118,0.00001937115,0.0001058764,0.000007766511,0.00006777792,0.00003254778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001437623,"about_ca_system_score_gemma":0.000004567271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001389992,"about_ca_topic_score_gemma":0.0002697715,"domain_scores_codex":[0.9995976,0.000002361614,0.0001074823,0.00008203802,0.00008596302,0.0001245405],"domain_scores_gemma":[0.9998313,0.00003894033,0.00001300083,0.00006281102,0.00001954859,0.00003442503],"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":[0.000107505,0.00006066846,0.4060736,0.0004885874,0.0004524872,0.00001394101,0.008202904,0.4434014,0.001377962,0.005094445,0.06684994,0.06787659],"study_design_scores_gemma":[0.0004776489,0.0000188099,0.3509704,0.00009172072,0.000009539643,7.400131e-7,0.0001563442,0.4908948,0.001666246,0.00204261,0.153455,0.0002160777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704697,0.00004611213,0.0008301916,0.0000989152,0.000877361,0.0001178385,0.00006105837,0.0003310791,0.02716775],"genre_scores_gemma":[0.9946585,0.00006715584,0.0002652761,0.00001460851,0.000176051,0.00005065042,0.00005735969,0.0000128499,0.004697553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0866051,"threshold_uncertainty_score":0.2520761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723647674626044,"score_gpt":0.2570706116223446,"score_spread":0.2298341348760841,"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."}}