{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004519537,0.0003990908,0.0003313399,0.002438021,0.001992412,0.003247925,0.001100406,0.0009735586,0.007390655],"category_scores_gemma":[0.005909343,0.000303433,0.0003484649,0.003500703,0.001234026,0.000630716,0.002425508,0.0009204675,0.001094161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008797714,"about_ca_system_score_gemma":0.01110053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09795445,"about_ca_topic_score_gemma":0.1400148,"domain_scores_codex":[0.9954618,0.001079248,0.0002498631,0.0006038459,0.001541106,0.00106406],"domain_scores_gemma":[0.9923516,0.001486477,0.001288824,0.0003050792,0.002727087,0.001840874],"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":[0.0005750968,0.0004254426,0.6144677,0.001697641,0.0001199911,0.006711266,0.07299434,0.0006915102,0.007200464,0.005193706,0.0259543,0.2639685],"study_design_scores_gemma":[0.00001478225,0.0003040779,0.7458024,0.0009321609,0.00004385453,0.001583244,0.09035446,0.0002320878,0.0007935515,0.0003776726,0.1595082,0.00005340826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9318075,0.01569557,0.0009770999,0.008396829,0.0003452299,0.0001829048,0.001504255,0.00009576991,0.04099488],"genre_scores_gemma":[0.9675425,0.007593111,0.001393848,0.001176395,0.00008013775,0.0000817227,0.0007918445,0.00002909553,0.02131126],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09795445,"threshold_uncertainty_score":0.1947686,"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."}}