{"id":"W2013699670","doi":"10.5007/2175-7941.2010v27n2p394","title":"<b>O Prêmio Nobel de Física de 2009</b><br>DOI: 10.5007/2175-7941.2010v27n2p394","year":2010,"lang":"es","type":"article","venue":"Caderno Brasileiro de Ensino de Física","topic":"Education and Public Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Header; Margin (machine learning); Art; Computer 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":"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":[0.005606227,0.001538222,0.001614027,0.0008634508,0.002379156,0.001919632,0.003211031,0.002887531,0.009778869],"category_scores_gemma":[0.007335274,0.001679784,0.001034583,0.002203856,0.002610137,0.001110879,0.0004954109,0.003219828,0.00526211],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716635,"about_ca_system_score_gemma":0.01075466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002640218,"about_ca_topic_score_gemma":0.004139566,"domain_scores_codex":[0.9866025,0.002227557,0.001835543,0.002083264,0.00208342,0.00516776],"domain_scores_gemma":[0.9890603,0.002287128,0.001270262,0.002468557,0.0009329322,0.003980862],"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":[0.0001468594,0.001340797,0.03809042,0.0001800232,0.0002943946,0.0001329989,0.0295273,0.00002529848,0.1049438,0.1044258,0.7094262,0.01146618],"study_design_scores_gemma":[0.001179082,0.0001830497,0.2213399,0.0001720292,0.000283399,0.0002683485,0.0008989288,0.0007651895,0.002959402,0.002705896,0.7676001,0.001644592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7918512,0.001432351,0.0003387714,0.03476761,0.003658511,0.001215773,0.000365334,0.0007649891,0.1656055],"genre_scores_gemma":[0.9008995,0.001216499,0.004807423,0.01106647,0.01159676,0.0001713797,0.0001210525,0.0003360804,0.06978479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1832495,"threshold_uncertainty_score":0.9997366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365034272443339,"score_gpt":0.3222988241752243,"score_spread":0.2986484814507909,"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."}}