{"id":"W31232702","doi":"10.1172/jci129862","title":"AVALIAÇÃO DO REL - APLICATIVO DE RELACIONAMENTOS COM OS CLIENTES SEGMENTADOS DO BANCO DO BRASIL, NA REGIÃO DA ÁGUA VERDE EM CURITIBA-PR","year":2007,"lang":"pt","type":"article","venue":"","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curitiba; Agency (philosophy); Elaboration; Business; Quarter (Canadian coin); Work (physics); Data collection; Marketing; Humanities; Sociology; Geography; Engineering; Social science; Art","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":[0.002252668,0.0002202938,0.0002431721,0.00153397,0.001627991,0.002094442,0.0008029274,0.0007102391,0.003906944],"category_scores_gemma":[0.01057098,0.0003755437,0.0002189733,0.001318066,0.001382807,0.001193592,0.001540009,0.0005898654,0.0003909421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002566245,"about_ca_system_score_gemma":0.002693549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04239501,"about_ca_topic_score_gemma":0.0926728,"domain_scores_codex":[0.9978365,0.000887337,0.0001369579,0.0002722783,0.000532208,0.0003347648],"domain_scores_gemma":[0.9934296,0.002950901,0.00142606,0.0002779255,0.001080716,0.0008347715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008244226,0.0004078019,0.7722985,0.0002948912,0.00002805417,0.001438671,0.1704004,0.0001581996,0.00183199,0.001024373,0.000786892,0.05124782],"study_design_scores_gemma":[0.000004847524,0.000272873,0.6352671,0.0001450134,0.00002342888,0.0007246669,0.3559745,0.0005668435,0.0005409263,0.0001635436,0.006298408,0.00001778353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974192,0.00009445499,0.0001446944,0.0001629029,0.000001992227,0.00005364005,0.0000327069,0.000006013824,0.002084347],"genre_scores_gemma":[0.9982169,0.0001337493,0.0002342363,0.00001982736,0.000001479934,0.00002658117,0.00002109885,0.000002459593,0.001343579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04239501,"threshold_uncertainty_score":0.08429646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06556336781024096,"score_gpt":0.3629649817331542,"score_spread":0.2974016139229132,"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."}}