{"id":"W2759614181","doi":"10.1344/ara.v6i2.19076","title":"De smart city a smart destination. El caso de tres ciudades canadienses","year":2017,"lang":"es","type":"article","venue":"Ara","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Art; Political 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":[0.0005065022,0.0004598794,0.0002434549,0.001193256,0.007006751,0.005883174,0.0007451426,0.001404091,0.0185573],"category_scores_gemma":[0.00107049,0.000219289,0.0003454822,0.002251707,0.005726509,0.003882481,0.003553171,0.001853929,0.001980966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0148953,"about_ca_system_score_gemma":0.01370283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7092438,"about_ca_topic_score_gemma":0.8794999,"domain_scores_codex":[0.9994013,0.0001228354,0.0000120779,0.00009448109,0.0001750867,0.0001942205],"domain_scores_gemma":[0.9993574,0.00006528742,0.0000603407,0.00005520249,0.0002266081,0.0002351828],"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":[0.0001554731,0.00009935957,0.04948606,0.0007461085,0.0000650096,0.002565566,0.1119868,0.002164367,0.002492055,0.5475611,0.1330365,0.1496417],"study_design_scores_gemma":[0.00001022764,0.00003893341,0.04241056,0.0003227148,0.00003169399,0.0004149733,0.09894281,0.0009611418,0.0005482581,0.01003986,0.8462088,0.00006995507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2136747,0.004906168,0.01318117,0.02524127,0.001216721,0.0001807036,0.001676077,0.0004135413,0.7395095],"genre_scores_gemma":[0.8089196,0.003376845,0.004353486,0.00228648,0.0001017189,0.00008227644,0.0006526918,0.00009622366,0.1801306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2907562,"threshold_uncertainty_score":0.5849371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221905077637864,"score_gpt":0.2535357183396439,"score_spread":0.2313166675632652,"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."}}