{"id":"W4384915702","doi":"10.29327/1283243.13-25","title":"SMART BALANCER: DESENVOLVIMENTO DE APLICATIVO MÓVEL PARA BALANCEAMENTO DE LINHA BASEADO NO DIAGRAMA DE PRECEDÊNCIAS","year":2023,"lang":"pt","type":"article","venue":"","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Humanities; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004942254,0.0006839753,0.0009115398,0.0005237304,0.0008141433,0.0009647266,0.001732069,0.0002895963,0.003272808],"category_scores_gemma":[0.001999093,0.0005699414,0.0003846104,0.003084675,0.0003334514,0.0005669355,0.001555662,0.0003592906,0.009573172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006198236,"about_ca_system_score_gemma":0.0004351643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0018064,"about_ca_topic_score_gemma":0.0006913958,"domain_scores_codex":[0.9930969,0.0004321124,0.001091472,0.001496201,0.001641831,0.00224143],"domain_scores_gemma":[0.99536,0.001570038,0.0004386185,0.00146953,0.0005474079,0.0006143973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001548867,0.000527725,0.3167124,0.000192195,0.0003644602,0.00009731093,0.00228579,0.0003985014,0.0008310257,0.003326957,0.6181715,0.05693725],"study_design_scores_gemma":[0.002325955,0.0003046582,0.3846048,0.0003597003,0.0002963064,0.00001123973,0.006461909,0.1816783,0.001143588,0.008580583,0.4127048,0.001528234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1801101,0.00644228,0.6267149,0.07160863,0.00475766,0.00523146,0.0005067695,0.002527093,0.1021011],"genre_scores_gemma":[0.7808245,0.006948936,0.00321849,0.004931185,0.000391778,0.0007698325,0.00004204405,0.00009574441,0.2027775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6234964,"threshold_uncertainty_score":0.9996752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093305353150379,"score_gpt":0.3861032180342369,"score_spread":0.276772682719199,"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."}}