{"id":"W4245209633","doi":"10.1590/s1806-37132005000400018","title":"Diagnóstico do caso da edição anterior","year":2005,"lang":"pt","type":"article","venue":"Jornal Brasileiro de Pneumologia","topic":"Information Science and Libraries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Gynecology; Humanities","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":[0.0004085877,0.001048263,0.000834625,0.00452381,0.001234629,0.001685,0.000871938,0.002944568,0.007311688],"category_scores_gemma":[0.004928409,0.0005545629,0.001008259,0.001587589,0.001326574,0.001562949,0.001008173,0.001766149,0.001704006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006801054,"about_ca_system_score_gemma":0.0006880052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004111676,"about_ca_topic_score_gemma":0.004500992,"domain_scores_codex":[0.9991249,0.00006703279,0.0000796637,0.0001437195,0.000236696,0.0003479378],"domain_scores_gemma":[0.998024,0.0005517593,0.000349576,0.0002436879,0.0003666543,0.0004643497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0007741377,0.0001793462,0.265075,0.0003722662,0.00005912201,0.6721674,0.0007320027,0.0001285166,0.01764056,0.0008500552,0.003052424,0.03896925],"study_design_scores_gemma":[0.00004076419,0.0002355627,0.08608566,0.0002280402,0.0001342963,0.8894587,0.001430136,0.000713431,0.01049597,0.0007333815,0.01039827,0.00004577697],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267552,0.01376393,0.005086986,0.004463263,0.0009160292,0.000321201,0.001389842,0.0004544785,0.04684905],"genre_scores_gemma":[0.9905339,0.003054298,0.002243214,0.0005051363,0.0005590144,0.00002063767,0.000378442,0.00003405246,0.002671292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007311688,"threshold_uncertainty_score":0.02446008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139698611486162,"score_gpt":0.2886293479595173,"score_spread":0.2572323618446556,"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."}}