{"id":"W4396732408","doi":"10.51161/conaisa2023/35241","title":"DESENVOLVIMENTO INFANTIL: A IMPORTÂNCIA DOS MARCOS COMO UM PARÂMETRO DE SAÚDE","year":2024,"lang":"pt","type":"article","venue":"","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Computer science; Art","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001662847,0.0005775607,0.0006934464,0.0004050281,0.0008051837,0.0001220082,0.0005069154,0.0007514461,0.01674837],"category_scores_gemma":[0.00009272981,0.0004684695,0.0003068452,0.0007559784,0.00009781157,0.0003077545,0.0005864411,0.002023834,0.008888622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008249424,"about_ca_system_score_gemma":0.001679375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02146658,"about_ca_topic_score_gemma":0.00461685,"domain_scores_codex":[0.9941376,0.0008485175,0.001393446,0.0008772265,0.0007180168,0.002025167],"domain_scores_gemma":[0.9969721,0.0008167577,0.0002013135,0.0007192292,0.0001411055,0.001149521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009770604,0.0005349235,0.4068263,0.04638965,0.0006029635,0.004084733,0.01494141,0.000002223828,0.001240424,0.05056919,0.3847837,0.08904748],"study_design_scores_gemma":[0.001570511,0.0007695316,0.09438959,0.009239544,0.0002555393,0.0001958121,0.005773725,0.0114386,0.001863818,0.00738825,0.8657383,0.001376772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587524,0.03915953,0.001821457,0.04312279,0.01052909,0.004369061,0.001547223,0.001701394,0.03899707],"genre_scores_gemma":[0.8524228,0.002115675,0.0003724408,0.005637154,0.0009687514,0.000170852,0.00009431109,0.0001293097,0.1380886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4809546,"threshold_uncertainty_score":0.9997767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05904413090026225,"score_gpt":0.4315623884492628,"score_spread":0.3725182575490005,"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."}}