{"id":"W7110607077","doi":"","title":"Toplu taşıma hizmetlerinde entegrasyon: İstanbul örneği.","year":2019,"lang":"","type":"dissertation","venue":"OpenMETU (Middle East Technical University)","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Action (physics); Variety (cybernetics); Sustainable transport; Public space; Transportation planning; Public policy; Space (punctuation)","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":[0.0007592899,0.001270498,0.0005944956,0.001218093,0.002136061,0.002958005,0.0008550301,0.0015482,0.0535058],"category_scores_gemma":[0.0005922754,0.0003867648,0.0004236038,0.001300228,0.0009025834,0.002411379,0.001848533,0.001521681,0.01778225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814813,"about_ca_system_score_gemma":0.002891479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108445,"about_ca_topic_score_gemma":0.01345549,"domain_scores_codex":[0.9996549,0.00006552476,0.00002883129,0.00008991639,0.00009408986,0.00006667848],"domain_scores_gemma":[0.9997026,0.00003711051,0.00003189505,0.00001554414,0.0001572387,0.00005553971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000800917,0.0004046052,0.007780312,0.002383397,0.00006734804,0.005868881,0.005304568,0.002338793,0.005241181,0.03929405,0.2390995,0.6914165],"study_design_scores_gemma":[0.00003584726,0.0002592027,0.01813413,0.0009416149,0.00008793848,0.003042077,0.008106737,0.001735201,0.003501446,0.006164752,0.957892,0.00009906199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1524485,0.2633082,0.01278785,0.03170515,0.01951815,0.0004514135,0.0055662,0.001529408,0.5126851],"genre_scores_gemma":[0.4643887,0.09478708,0.01583382,0.001965228,0.001517817,0.0002500779,0.004865127,0.0005051622,0.415887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0535058,"threshold_uncertainty_score":0.1789947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126673914096355,"score_gpt":0.1834075968356544,"score_spread":0.1621408576946909,"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."}}