{"id":"W7037675177","doi":"","title":"Evaluating greenhouse gas emissions benefits of emerging green technologies in passenger transportation in the Quebec context","year":2013,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Fossil Insects in Amber","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Market penetration; Alternative fuel vehicle; Context (archaeology); Fuel efficiency; Train; Compressed natural gas; Public transport; Green vehicle","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":[0.0005078955,0.0005639521,0.0002214341,0.0009745706,0.00101722,0.001919646,0.0006059766,0.0003874329,0.00313072],"category_scores_gemma":[0.001029928,0.0001277732,0.0005420108,0.002014085,0.0004761061,0.0007570083,0.0004841083,0.0004837589,0.0001766592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03105266,"about_ca_system_score_gemma":0.007604419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847868,"about_ca_topic_score_gemma":0.9911019,"domain_scores_codex":[0.9995647,0.00007410995,0.00000967854,0.00004950006,0.0001509139,0.0001511049],"domain_scores_gemma":[0.9992741,0.0001124891,0.00006607721,0.00001943012,0.0004552327,0.00007267071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001374238,0.0010254,0.6567037,0.0007831448,0.0008169858,0.002233387,0.001198706,0.1878383,0.02277345,0.008236971,0.009785848,0.1072298],"study_design_scores_gemma":[0.00006288069,0.0005967951,0.9081249,0.0001137493,0.0003155876,0.0000846785,0.004429709,0.06752767,0.003653609,0.0005000425,0.01449757,0.00009287529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786123,0.0008625673,0.0006534707,0.0003039669,0.00001140184,0.0001142169,0.002756217,0.00002412467,0.01666172],"genre_scores_gemma":[0.9952949,0.000529945,0.0005059512,0.0000541107,0.000003500004,0.0000253262,0.000927979,0.000006698755,0.002651646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03105266,"threshold_uncertainty_score":0.2253038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03906387892223696,"score_gpt":0.272723535904661,"score_spread":0.233659656982424,"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."}}