{"id":"W6903410459","doi":"10.11575/prism/47695","title":"The Transition to Net-Zero of Heavy-Duty Road Freight in Alberta: A Scenario Model","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Indian Institute of Science","keywords":"Greenhouse gas; Hydrogen vehicle; Software deployment; Stock (firearms); Government (linguistics); Alternative fuel vehicle; Scope (computer science); Green vehicle; Electrification","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0003682458,0.0008265155,0.0004941113,0.0007814082,0.001368961,0.002029036,0.002623204,0.001979796,0.009111902],"category_scores_gemma":[0.0006834262,0.0004424274,0.0008809672,0.001252779,0.00110279,0.000901482,0.001192904,0.001495771,0.0005656392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0170029,"about_ca_system_score_gemma":0.01250879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8992441,"about_ca_topic_score_gemma":0.8782516,"domain_scores_codex":[0.9997965,0.00004276253,0.000004565653,0.00002560788,0.00003822093,0.0000924075],"domain_scores_gemma":[0.9996417,0.00009728235,0.00002990725,0.00001064226,0.0001333372,0.00008717713],"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":[0.0001210147,0.00009421388,0.005615911,0.00004246427,0.00002169704,0.0002583759,0.00009029544,0.9674733,0.0003094662,0.01986001,0.003833984,0.002279333],"study_design_scores_gemma":[0.0001306825,0.00008104054,0.004368569,0.00004974588,0.00005564201,0.00003928039,0.001012646,0.9818128,0.0002074598,0.004490713,0.0077018,0.0000495099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7653468,0.0008864754,0.00978344,0.004800401,0.0001509012,0.0002885014,0.01316773,0.0002064368,0.2053693],"genre_scores_gemma":[0.954642,0.0006824089,0.003038939,0.0002486809,0.00002109249,0.0001303256,0.003308094,0.00002844992,0.03790008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007559,"threshold_uncertainty_score":0.2026984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105098294270731,"score_gpt":0.3001118759014204,"score_spread":0.2690608929587131,"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."}}