{"id":"W4251799996","doi":"10.32920/ryerson.14655192.v1","title":"Commuting for work and neighbourhood energy consumption","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Work (physics); Energy consumption; Neighbourhood (mathematics); Transport engineering; Plan (archaeology); Consumption (sociology); Business; Greenhouse gas; Geography; Engineering; Sociology","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":[0.0001792664,0.0001046611,0.0001400107,0.0003812805,0.0004432898,0.0006181959,0.0001986886,0.0001811873,0.003804252],"category_scores_gemma":[0.000611764,0.0000535246,0.0002455431,0.0006720184,0.0001851523,0.0002760784,0.0005047601,0.0002342559,0.0002753033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005295095,"about_ca_system_score_gemma":0.0003563705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03006179,"about_ca_topic_score_gemma":0.07908412,"domain_scores_codex":[0.9998044,0.00004972487,0.00001238158,0.00002773331,0.00005423631,0.00005144348],"domain_scores_gemma":[0.9995729,0.00006803401,0.0001312831,0.00002838726,0.00005994311,0.0001393728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007008413,0.0001066208,0.9878813,0.00003096898,0.00005288679,0.000185863,0.001255779,0.0003066917,0.0004166749,0.0003629406,0.0002413854,0.009088909],"study_design_scores_gemma":[6.595142e-7,0.00003986294,0.9968907,0.000006940954,0.000008596614,0.00004792722,0.00179197,0.00007263449,0.00004340928,0.00005069157,0.001043528,0.000003115763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964748,0.0001496035,0.00005141729,0.00005106238,0.000004332804,0.000004384171,0.0002301181,0.000002377312,0.003031937],"genre_scores_gemma":[0.9987661,0.00007665943,0.00004634454,0.00000664441,0.000002905988,0.000003502768,0.0001617998,0.000001331182,0.0009348347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03006179,"threshold_uncertainty_score":0.05977362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05379587276635164,"score_gpt":0.3275221391021733,"score_spread":0.2737262663358216,"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."}}