{"id":"W4300046730","doi":"","title":"The Impact on Shaping Mental Maps of the Urban Typology, in the Context of Transportation Network; Toronto","year":2016,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Typology; Context (archaeology); Urban network; Transport engineering; Geography; Regional science; Sociology; Economic geography; Psychology; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001390967,0.00009081797,0.0001320213,0.00003196505,0.00008239897,0.000005314598,0.0003093003,0.00004418938,0.00004745764],"category_scores_gemma":[0.000006008796,0.00004225334,0.0001344307,0.0002241213,0.0001047275,0.00007612555,0.000007259077,0.00006040208,0.00000131231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693095,"about_ca_system_score_gemma":0.00001641049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037791,"about_ca_topic_score_gemma":0.01420478,"domain_scores_codex":[0.9994239,0.00009221074,0.0001428542,0.00007968311,0.0001137574,0.0001475722],"domain_scores_gemma":[0.9995034,0.0001885274,0.00006271704,0.0002028606,0.00002301298,0.00001942757],"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":[0.00349516,0.0005485097,0.204617,0.0001487855,0.003192961,0.0001154542,0.05968517,0.05003341,0.0254267,0.3714907,0.2573991,0.02384708],"study_design_scores_gemma":[0.009293536,0.001278566,0.5284017,0.0008888994,0.0009940707,0.000009313489,0.08633701,0.01755116,0.0116877,0.00284269,0.3390259,0.001689475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813453,0.0007106292,0.0008556492,0.0004945618,0.0001949132,0.0003153041,0.0001334492,0.0000344155,0.01591578],"genre_scores_gemma":[0.9994458,0.0001410111,0.000006523282,0.00001703089,0.00001852367,4.707695e-7,0.000005083369,0.000006145784,0.0003594239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.368648,"threshold_uncertainty_score":0.7926601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009051644857967682,"score_gpt":0.1847121066491044,"score_spread":0.1756604617911367,"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."}}