{"id":"W2579150165","doi":"","title":"Ambiences in the City: Longitudinal surveys in the dynamic representation of built environments to observe, measure and speculate. Strolling in Panama City, Panama","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Panama; Measure (data warehouse); Representation (politics); Apprehension; Diversity (politics); Geography; Computer science; Sociology; Psychology; Data mining","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":[0.0006657708,0.0001360688,0.0001193134,0.0007448792,0.0004785789,0.0007266201,0.0002779769,0.000294313,0.001566485],"category_scores_gemma":[0.002164743,0.0001837572,0.0001215354,0.001855042,0.0004283846,0.001049962,0.001180592,0.0004234569,0.0002895093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005385456,"about_ca_system_score_gemma":0.0005527604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08230295,"about_ca_topic_score_gemma":0.1531661,"domain_scores_codex":[0.9997187,0.0001508666,0.00001222283,0.00004809665,0.00002683029,0.00004325821],"domain_scores_gemma":[0.9990715,0.0002285689,0.0002400683,0.000103336,0.000245513,0.0001110178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001035677,0.00005720081,0.9635473,0.00003236188,0.00004983356,0.0001200969,0.01686723,0.0004493455,0.0005932865,0.0007635843,0.002159965,0.01525616],"study_design_scores_gemma":[0.000002509437,0.0000374702,0.9800931,0.0000152744,0.00001197822,0.0000355436,0.01606011,0.0005644764,0.0001094773,0.0001732684,0.002890778,0.000006028122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971137,0.00007052128,0.0003853037,0.0001678746,0.000004562235,0.000009797546,0.0009012952,0.000005309635,0.001341677],"genre_scores_gemma":[0.998282,0.00008513558,0.0003422926,0.00001350246,0.000003628665,0.00002758483,0.0006681026,0.000003886649,0.000574098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08230295,"threshold_uncertainty_score":0.1636478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03453698474937755,"score_gpt":0.2402238466207547,"score_spread":0.2056868618713772,"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."}}