{"id":"W7115818439","doi":"","title":"ASSESSMENT OF TRANSPORTATION GHG MITGATING SOLUTIONS","year":2021,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrification; Greenhouse gas; Electricity; Battery electric vehicle; Public transport; Service (business); Battery (electricity); Occupancy; Transit (satellite); Energy consumption","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":[0.002014276,0.0009547986,0.0003488706,0.001109864,0.0004394061,0.002052233,0.001007324,0.0009587046,0.003138338],"category_scores_gemma":[0.002968127,0.0002882336,0.0006584376,0.001256279,0.0004377563,0.001240544,0.0008459843,0.0005729036,0.0003752028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009276003,"about_ca_system_score_gemma":0.006819345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1165778,"about_ca_topic_score_gemma":0.138106,"domain_scores_codex":[0.9989306,0.0002821841,0.00002248922,0.00006597504,0.0005425601,0.0001560967],"domain_scores_gemma":[0.9994366,0.0001713253,0.00006198721,0.00003391867,0.000267148,0.00002916247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008676636,0.00005376375,0.005747132,0.0002221469,0.00008515488,0.00006705578,0.00004912029,0.9273727,0.002224159,0.01756844,0.001432727,0.04509085],"study_design_scores_gemma":[0.00004261417,0.0005071668,0.01187687,0.0001364328,0.0001075371,0.00004847237,0.0008056455,0.9396966,0.005983838,0.01899076,0.02176451,0.00003968976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6378118,0.003092137,0.1733659,0.002633986,0.0001008599,0.001240864,0.008746091,0.0004375096,0.1725708],"genre_scores_gemma":[0.966395,0.001367905,0.02366375,0.00006670468,0.000008314172,0.0002205111,0.001385552,0.00003887267,0.006853458],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1165778,"threshold_uncertainty_score":0.2317985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00684255351910876,"score_gpt":0.1947100258789712,"score_spread":0.1878674723598625,"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."}}