{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001263628,0.0005625158,0.0006641994,0.0001877022,0.0004746109,0.00006026622,0.001060628,0.0008974529,0.0002850144],"category_scores_gemma":[0.0009207433,0.0002553993,0.0002235422,0.001619357,0.00009815317,0.0005809641,0.00004399569,0.001461615,0.00003311205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235222,"about_ca_system_score_gemma":0.00002752242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05566731,"about_ca_topic_score_gemma":0.656801,"domain_scores_codex":[0.995999,0.0004718281,0.001202772,0.0008147479,0.0008890908,0.0006225294],"domain_scores_gemma":[0.9977533,0.0008020875,0.0007323773,0.0002958363,0.0003437946,0.00007259018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000716457,0.0002095489,0.0008474258,0.0001055309,0.00002610717,0.00001487897,0.0001513759,0.00006714857,0.1839898,0.005601105,0.000004848399,0.8089105],"study_design_scores_gemma":[0.002048569,0.001212064,0.7395809,0.004971215,0.0003040438,0.00002149257,0.05826874,0.000240975,0.1554146,0.02564494,0.009157456,0.003135069],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944651,0.0006471528,3.204605e-9,0.0001762104,0.0002407438,0.001033284,0.0004000274,0.0001755632,0.002861875],"genre_scores_gemma":[0.9973307,0.0002487712,0.0001040937,0.00006774212,0.00002659177,0.000315681,0.0006851152,0.00001417656,0.001207106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8057755,"threshold_uncertainty_score":0.9999898,"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."}}