{"id":"W4248830547","doi":"10.20286/nova-jmbs","title":"Nova Journal of Medical and Biological Sciences","year":2016,"lang":"en","type":"paratext","venue":"Nova Journal of Medical and Biological Sciences","topic":"","field":"","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Library science; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.04144169,0.0008006789,0.002553715,0.0009383485,0.0006956192,0.0004528894,0.005416544,0.002803221,0.0360022],"category_scores_gemma":[0.01601375,0.0003032339,0.0005442755,0.001631559,0.03058409,0.0005009387,0.00138131,0.00333445,0.000539494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009721635,"about_ca_system_score_gemma":0.003103937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005090768,"about_ca_topic_score_gemma":0.0000169133,"domain_scores_codex":[0.9827331,0.001498901,0.003257969,0.001015448,0.01008244,0.001412082],"domain_scores_gemma":[0.9890567,0.003803748,0.003488488,0.0001772051,0.0007543723,0.002719486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00167,0.002463712,0.03775509,0.0003052725,0.0008296959,0.005516308,0.0003488235,0.000003786246,0.006652678,0.005175423,0.4318028,0.5074764],"study_design_scores_gemma":[0.01147837,0.04840932,0.02547844,0.01595429,0.0003652768,0.09821247,0.002344197,0.0002721633,0.0007311917,0.01406621,0.7793893,0.003298761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815746,0.06044622,0.0006057089,0.04008718,0.008204505,0.0002671149,0.0001391821,0.00002411409,0.008651398],"genre_scores_gemma":[0.8499155,0.1332296,0.002190415,0.003320157,0.01071366,0.000002765794,0.000007465068,0.00003647244,0.000583959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5041777,"threshold_uncertainty_score":0.9999647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.247824618144645,"score_gpt":0.4208730790025029,"score_spread":0.1730484608578579,"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."}}