{"id":"W3021161809","doi":"10.36692/415","title":"REDES NEURAIS CONVOLUCIONAIS E PADRÃO CPAQV 100 PARA ANÁLISE DO MOVIMENTO HUMANO","year":2020,"lang":"pt","type":"article","venue":"Revista CPAQV - Centro de Pesquisas Avançadas em Qualidade de Vida - CPAQV Journal","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.003585291,0.00280729,0.0030975,0.001069245,0.002198784,0.02336815,0.007175907,0.0007444363,0.003173487],"category_scores_gemma":[0.003348265,0.002983049,0.002626419,0.002766988,0.0009323647,0.005275118,0.002411928,0.003370434,0.001613022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125086,"about_ca_system_score_gemma":0.003689165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001320629,"about_ca_topic_score_gemma":0.00001784249,"domain_scores_codex":[0.9785848,0.003052042,0.004616005,0.003487487,0.004290457,0.005969272],"domain_scores_gemma":[0.9831403,0.001159097,0.003427452,0.003025593,0.001298513,0.007949048],"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":[0.003189813,0.008554327,0.02893811,0.005143783,0.004535152,0.02153741,0.06394979,0.004152548,0.01421995,0.05328678,0.7334567,0.05903563],"study_design_scores_gemma":[0.01635613,0.003663816,0.008006072,0.005802919,0.00355256,0.009964755,0.01106063,0.05328415,0.005524829,0.00529699,0.8680386,0.009448534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6262472,0.1385562,0.1434805,0.06228818,0.007088261,0.006641134,0.003855614,0.003961105,0.007881757],"genre_scores_gemma":[0.9650081,0.002772208,0.008351002,0.01561689,0.004634122,0.00009001142,0.0002310091,0.0006410849,0.002655594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3387608,"threshold_uncertainty_score":0.9991643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05039633226403779,"score_gpt":0.3087477075440999,"score_spread":0.2583513752800621,"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."}}