{"id":"W3039041404","doi":"10.22481/folio.v12i1.6815","title":"REMODELAGEM DAS VARIÁVEIS ANIMACIDADE, GRAU E FORMALIDADE LÉXICA DOS SUBSTANTIVOS: O PROCESSO DE CONCORDÂNCIA NOMINAL - SANTA LEOPOLDINA/ES","year":2020,"lang":"pt","type":"article","venue":"Fólio","topic":"Linguistics and Education Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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":[0.005901729,0.0003417432,0.0003118564,0.003549631,0.00231075,0.005093351,0.001021669,0.0005667809,0.008870391],"category_scores_gemma":[0.02443586,0.0004492069,0.0003123846,0.008316766,0.004411726,0.003379589,0.003526745,0.0009650499,0.0006464931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007170375,"about_ca_system_score_gemma":0.004735331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1314219,"about_ca_topic_score_gemma":0.163525,"domain_scores_codex":[0.9959787,0.001707612,0.0002482924,0.0006278866,0.001202074,0.0002354772],"domain_scores_gemma":[0.9833518,0.009535398,0.001771385,0.001871189,0.003250075,0.0002202818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003182637,0.00004918043,0.1951937,0.0007463706,0.00009875699,0.001155003,0.4820879,0.001040825,0.006053957,0.123938,0.006409864,0.1829082],"study_design_scores_gemma":[0.00002608182,0.0001084267,0.4279486,0.0006743805,0.0001142756,0.000686558,0.2878829,0.00343514,0.004525364,0.02825798,0.2462497,0.00009052356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801785,0.0006932993,0.009940824,0.002188005,0.00004627831,0.0001734825,0.001799557,0.0001084615,0.1048715],"genre_scores_gemma":[0.9763647,0.0003416789,0.01048465,0.0001650264,0.0000107303,0.00009173215,0.0008391281,0.000108648,0.01159374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1314219,"threshold_uncertainty_score":0.2613139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09181674420415245,"score_gpt":0.339088853340143,"score_spread":0.2472721091359906,"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."}}