{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005632307,0.0001704809,0.0001079216,0.0003984333,0.0004393991,0.0008538744,0.0001456991,0.0003394621,0.003505985],"category_scores_gemma":[0.001645339,0.00008100896,0.0002469558,0.0004613081,0.0002224916,0.0004679744,0.0003017566,0.0003585981,0.0003204598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015495,"about_ca_system_score_gemma":0.0002589463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005075147,"about_ca_topic_score_gemma":0.00903743,"domain_scores_codex":[0.9996854,0.00007176338,0.00002135406,0.00003779447,0.00008922379,0.00009450435],"domain_scores_gemma":[0.9986545,0.0003499085,0.0004933098,0.00004599892,0.0001739332,0.0002822676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001458413,0.0002942428,0.983549,0.00001944011,0.00002308465,0.000196756,0.004098774,0.0002492762,0.001013969,0.0001858173,0.0004531525,0.009770635],"study_design_scores_gemma":[0.000006359391,0.0002400722,0.9764207,0.00001727376,0.00001599808,0.0001549061,0.02064659,0.0005879972,0.0003896247,0.00007221816,0.001434176,0.00001415147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993918,0.0000133984,0.0000161305,0.00002242537,0.000001071108,0.000001685445,0.00001497542,3.250936e-7,0.0005381363],"genre_scores_gemma":[0.9993846,0.00002289837,0.00002105433,0.00001605388,0.000001141116,0.000002073278,0.00003289186,5.200659e-7,0.0005185804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005075147,"threshold_uncertainty_score":0.01172864,"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."}}