{"id":"W3043845563","doi":"10.15202/25254146.2018v3n1p1","title":"DESENVOLVIMENTO DE ROTINAS AUTOMATIZADAS PARA O DIMENSIONAMENTO DE PERFIS FORMADOS A FRIO SUBMETIDOS A SOLICITAÇÕES COMBINADAS","year":2020,"lang":"pt","type":"article","venue":"Projectus","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Chemistry; Materials 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005147986,0.001226855,0.0009005474,0.003652513,0.001737416,0.004739148,0.001248921,0.0009813547,0.01713043],"category_scores_gemma":[0.02189392,0.0006154763,0.001071558,0.003487888,0.001215062,0.003742397,0.003857736,0.0009160601,0.003971379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314373,"about_ca_system_score_gemma":0.002302489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003869227,"about_ca_topic_score_gemma":0.00721185,"domain_scores_codex":[0.9939216,0.00171099,0.0004783406,0.001012825,0.002438367,0.0004378724],"domain_scores_gemma":[0.9815638,0.008598859,0.001689121,0.003421995,0.003784752,0.0009415052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009402554,0.0005643577,0.02618326,0.003284629,0.0001321369,0.0005101686,0.01308167,0.009328115,0.06197741,0.01715446,0.008814772,0.8580287],"study_design_scores_gemma":[0.000224642,0.003484898,0.1470156,0.002905117,0.0008218701,0.001731877,0.03014159,0.09447784,0.1606108,0.04318523,0.5147812,0.0006193959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5307602,0.003538493,0.360673,0.001330875,0.0004381072,0.001671773,0.002136621,0.008511446,0.0909394],"genre_scores_gemma":[0.6250484,0.001753696,0.341235,0.0002079074,0.00006975531,0.0008319477,0.001579421,0.001153317,0.02812056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01713043,"threshold_uncertainty_score":0.057307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1351548437096282,"score_gpt":0.3826845726641269,"score_spread":0.2475297289544987,"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."}}