{"id":"W7070898764","doi":"","title":"Relatório de Consultadoria Técnico-Científico INNEA-Alternativas Biotecnológicas Valladolid, Espanha","year":2018,"lang":"pt","type":"report","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Practicum; Olive trees; Christian ministry","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.0190936,0.0009842124,0.000937836,0.005691238,0.003008752,0.0005791776,0.003229979,0.002560921,0.00008664701],"category_scores_gemma":[0.03066309,0.0009334292,0.0002884694,0.006180284,0.008313389,0.0001178892,0.002571283,0.002823033,0.00007487688],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365155,"about_ca_system_score_gemma":0.01518883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001581362,"about_ca_topic_score_gemma":0.00004140334,"domain_scores_codex":[0.9878696,0.0002818559,0.001729238,0.00265628,0.004281414,0.003181655],"domain_scores_gemma":[0.9876844,0.0005587466,0.001254982,0.001312737,0.008552006,0.0006370727],"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":[0.001919696,0.003123906,0.04562017,0.004247728,0.002757034,0.0002267934,0.002488768,0.0000338073,0.3018132,0.05010949,0.420779,0.1668805],"study_design_scores_gemma":[0.003323169,0.007977028,0.001323573,0.0009500724,0.000169077,0.001835276,0.0009711204,0.01004243,0.05936362,0.0100488,0.9013897,0.002606119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.736872,0.04263256,0.01017529,0.006591955,0.007180118,0.01648182,0.005982066,0.001075355,0.1730088],"genre_scores_gemma":[0.8635873,0.02654889,0.01215758,0.0001655436,0.001901742,0.001349732,0.003064868,0.0002746359,0.09094975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4806108,"threshold_uncertainty_score":0.9994775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0576450999795977,"score_gpt":0.3980073735416292,"score_spread":0.3403622735620315,"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."}}