{"id":"W3092362725","doi":"10.3390/su13084093","title":"Sustainability Issues of Micro and Macro-Scale Changes in Daily and Residential Mobility","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Fonds National de la Recherche Luxembourg","keywords":"Sustainability; Macro; Scale (ratio); Travel behavior; Micro level; Business; Transport engineering; Sustainable transport; Macro level; Supply and demand; Environmental economics; Natural resource economics; Economics; Engineering; Computer science; Geography; Civil engineering; Economic system; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001963416,0.0003946875,0.0004696415,0.0008792325,0.001189202,0.003684154,0.0008638794,0.001495594,0.004484364],"category_scores_gemma":[0.003971695,0.0001771931,0.0004037074,0.001590157,0.006717448,0.004846164,0.002979226,0.001749576,0.0003499515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002592539,"about_ca_system_score_gemma":0.00185037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006602789,"about_ca_topic_score_gemma":0.006487394,"domain_scores_codex":[0.998879,0.0003833822,0.00003920105,0.0002201547,0.0002377491,0.0002404915],"domain_scores_gemma":[0.9982355,0.000630294,0.0003323306,0.0002023634,0.0004520825,0.0001474701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004032413,0.00006989733,0.01239259,0.0003876471,0.00008779004,0.0002380918,0.002732187,0.009105865,0.0009855554,0.8908279,0.01212945,0.07100282],"study_design_scores_gemma":[0.000005584494,0.00006432157,0.02422028,0.0003461617,0.00002707718,0.0001999712,0.006431823,0.002756487,0.0005596427,0.8340184,0.1313357,0.00003450071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2692204,0.05841813,0.07244307,0.2213109,0.003050384,0.0001659643,0.001872662,0.0002233819,0.3732951],"genre_scores_gemma":[0.9804646,0.008353351,0.002288438,0.002321687,0.0008937405,0.00006016325,0.0001192881,0.00004257089,0.005456071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006602789,"threshold_uncertainty_score":0.01881021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00848142779670854,"score_gpt":0.3102157294172754,"score_spread":0.3017343016205669,"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."}}