{"id":"W2799906847","doi":"10.12795/anduli.2017.i16.11","title":"Optimización y Reinvención del espacio Urbano Canadiense.","year":2017,"lang":"es","type":"article","venue":"Anduli","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Environmental science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001095879,0.0009593926,0.0002725514,0.0006904004,0.0004295173,0.001828282,0.000675773,0.0006946129,0.004814722],"category_scores_gemma":[0.00265029,0.0002900671,0.0003369024,0.0006826662,0.0006546036,0.0009067558,0.001114679,0.0004145818,0.0005675104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001954681,"about_ca_system_score_gemma":0.002439252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08308294,"about_ca_topic_score_gemma":0.131812,"domain_scores_codex":[0.9996768,0.0001045683,0.000008625311,0.00006198686,0.00007388262,0.00007413707],"domain_scores_gemma":[0.9994683,0.0002255208,0.00006397937,0.0000468427,0.0001586519,0.0000366641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002506471,0.0001385069,0.02433367,0.0002962175,0.0001014616,0.0001424839,0.0007578367,0.7274467,0.01301597,0.01460211,0.002500785,0.2164136],"study_design_scores_gemma":[0.00005975103,0.0004494879,0.0300268,0.0001872838,0.0001907938,0.00009707147,0.003025902,0.9022457,0.01669781,0.01819425,0.02875406,0.00007110921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6173373,0.002893329,0.303373,0.002205832,0.00010638,0.000218959,0.0006152943,0.0007296322,0.07252029],"genre_scores_gemma":[0.9575669,0.0006104507,0.03273942,0.0000721207,0.00001132146,0.00004834434,0.0001569338,0.00005994272,0.008734578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9169171,"threshold_uncertainty_score":0.1651987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728249473442283,"score_gpt":0.2226021713716819,"score_spread":0.205319676637259,"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."}}