{"id":"W3141141715","doi":"","title":"Semiosfera de la salud en parques: estudio de caso en Quito y Madrid","year":2019,"lang":"es","type":"article","venue":"Revista Cubana de Investigaciones Biomédicas","topic":"Health and Lifestyle Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geography; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006239518,0.0004271713,0.0005179385,0.001322728,0.001347161,0.00142,0.0007170198,0.0007863902,0.002815142],"category_scores_gemma":[0.001313574,0.0002877037,0.0003829448,0.00116618,0.0007183768,0.0004108305,0.001403236,0.0007632167,0.0003266562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201902,"about_ca_system_score_gemma":0.001980181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1181225,"about_ca_topic_score_gemma":0.1243414,"domain_scores_codex":[0.9996445,0.000088046,0.00001618812,0.00005000822,0.00005493565,0.0001463081],"domain_scores_gemma":[0.9993691,0.0001262173,0.0001952529,0.00003331965,0.0001164446,0.0001597192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003125843,0.0003733431,0.9673535,0.00008262865,0.0000364659,0.002015455,0.01525947,0.00003773643,0.0005793922,0.0003188705,0.0006901417,0.01294037],"study_design_scores_gemma":[0.00001801017,0.0001290768,0.9485742,0.00009215243,0.00005342425,0.001078259,0.04647851,0.0001015648,0.0001778007,0.00008216493,0.003204511,0.00001032243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970573,0.001030456,0.00005775881,0.000167934,0.000009825792,0.00001620832,0.0001495202,0.000004028818,0.001506903],"genre_scores_gemma":[0.9955728,0.001689358,0.00008396459,0.00009311725,0.00001689782,0.0000377501,0.0002588073,0.000006806105,0.002240579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1181225,"threshold_uncertainty_score":0.23487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255450275742947,"score_gpt":0.3885100694025819,"score_spread":0.3629650418282872,"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."}}