{"id":"W2947538565","doi":"10.2139/ssrn.3390610","title":"Urbanism Under Google: Lessons from Sidewalk Toronto","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Urbanism; New Urbanism; Geography; Transport engineering; Regional science; Architectural engineering; Engineering; Architecture; Archaeology","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":[0.0008952009,0.0002770186,0.0003233807,0.0008336027,0.02058021,0.008819162,0.001041876,0.00198699,0.0201206],"category_scores_gemma":[0.002699788,0.0002338297,0.0003124922,0.002415121,0.01073242,0.004584382,0.004940847,0.003287634,0.001500944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02696308,"about_ca_system_score_gemma":0.01694682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8316916,"about_ca_topic_score_gemma":0.9529529,"domain_scores_codex":[0.998603,0.0003818327,0.00001447872,0.0001045069,0.0002442578,0.0006518537],"domain_scores_gemma":[0.9979967,0.0005539438,0.0001001599,0.0001487748,0.0003577973,0.0008426344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001569929,0.00006619249,0.02040692,0.0001461994,0.00002426598,0.001743289,0.3159461,0.0009286091,0.0002822645,0.3252181,0.2816972,0.05338383],"study_design_scores_gemma":[0.00001694509,0.0000308148,0.01619246,0.0001862211,0.00001598908,0.000193239,0.3755852,0.0003494967,0.0002444548,0.01448148,0.59267,0.00003362772],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.227142,0.002322677,0.0007971126,0.08575351,0.0004179635,0.00002889388,0.0006220163,0.00008625216,0.6828296],"genre_scores_gemma":[0.9297638,0.001717002,0.0002441214,0.00234832,0.0001277289,0.00001281042,0.0001757546,0.0001353926,0.06547513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1683084,"threshold_uncertainty_score":0.3385991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006549321465849661,"score_gpt":0.20819635443917,"score_spread":0.2016470329733204,"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."}}