{"id":"W4366551139","doi":"10.5935/1980-6914/eletdo15574","title":"Uma Cosette negra: aproximações entre Monteiro Lobato e Victor Hugo","year":2023,"lang":"pt","type":"article","venue":"Todas as letras/Revista Todas as Letras","topic":"Literature, Culture, and Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Centre for Advanced MNT Products (Canada)","funders":"","keywords":"Prejudice (legal term); Humanities; Art; Psychology; Social psychology","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00114418,0.002876349,0.00272095,0.001041602,0.002999233,0.006843667,0.002263943,0.001388171,0.02283433],"category_scores_gemma":[0.0006130819,0.002613298,0.001846106,0.00156641,0.001388723,0.001765389,0.0006231543,0.002945876,0.02052146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005850962,"about_ca_system_score_gemma":0.0005557056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031518,"about_ca_topic_score_gemma":0.000776581,"domain_scores_codex":[0.9870942,0.0007195306,0.0027699,0.00307933,0.002414927,0.003922143],"domain_scores_gemma":[0.993656,0.0005947412,0.0008920407,0.002513893,0.001025329,0.001317965],"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":[0.0003339174,0.0008718301,0.0005739414,0.001578779,0.0009446787,0.001814134,0.03547138,0.000009641465,0.001064203,0.3457973,0.6066598,0.004880374],"study_design_scores_gemma":[0.00273422,0.001074679,0.001256373,0.001796278,0.000902092,0.0002096751,0.02364976,0.0002164737,0.0007197061,0.003747463,0.9604381,0.003255146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5447329,0.04406881,0.00007091407,0.02750502,0.01115754,0.006198051,0.005578208,0.004167158,0.3565214],"genre_scores_gemma":[0.6481909,0.001715385,0.00008355112,0.01284079,0.007765306,0.0003081836,0.001890064,0.0005765214,0.3266293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3537783,"threshold_uncertainty_score":0.9999082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230561545214457,"score_gpt":0.2602190737693166,"score_spread":0.2371629192478709,"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."}}