{"id":"W2791087472","doi":"10.4322/podes.2017.010","title":"Analise bibliométrica sobre modelos de localização de facilidade com aplicação na logística reversa","year":2017,"lang":"pt","type":"article","venue":"Pesquisa Operacional para o Desenvolvimento","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Philosophy; Political science","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02534847,0.001914467,0.003232826,0.07911158,0.001332821,0.01053537,0.001794396,0.001150744,0.005906005],"category_scores_gemma":[0.1601211,0.0006875589,0.00605526,0.1460845,0.001414058,0.007185013,0.002777752,0.001312246,0.001044477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006296909,"about_ca_system_score_gemma":0.007611249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970685,"about_ca_topic_score_gemma":0.01256995,"domain_scores_codex":[0.9754404,0.008037519,0.003185568,0.001772461,0.01086097,0.0007031405],"domain_scores_gemma":[0.839049,0.1277509,0.009229432,0.006947394,0.01645334,0.0005699566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004529305,0.0005269201,0.4098851,0.01668334,0.005194861,0.0005828653,0.008153823,0.1145875,0.001424525,0.0357774,0.01081868,0.395912],"study_design_scores_gemma":[0.0002073822,0.001073994,0.4549091,0.006753447,0.007321545,0.001459659,0.02217504,0.3667941,0.006220966,0.05284268,0.07971826,0.0005237599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7863042,0.02517018,0.06891596,0.003096074,0.0002756663,0.001455324,0.03382356,0.00280104,0.07815803],"genre_scores_gemma":[0.9564251,0.00914597,0.02438672,0.00004388167,0.0001411851,0.0007941153,0.007138918,0.0001823781,0.001741797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9208884,"threshold_uncertainty_score":0.1340571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1812712512279625,"score_gpt":0.4155184482995221,"score_spread":0.2342471970715596,"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."}}