{"id":"W7119251494","doi":"","title":"Editorial V11N01","year":2017,"lang":"pt","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Phytochemistry Medicinal Plant Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Editorial board; Round table","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"],"consensus_categories":[],"category_scores_codex":[0.0009421046,0.0006997667,0.0006901438,0.00008623954,0.003694883,0.0009801087,0.002539204,0.001158677,0.000248846],"category_scores_gemma":[0.001625832,0.0004394603,0.0004005517,0.0003706555,0.00009961963,0.0007283625,0.0006858185,0.001213435,0.0001313339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00052717,"about_ca_system_score_gemma":0.0004451668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001038677,"about_ca_topic_score_gemma":0.0003155619,"domain_scores_codex":[0.9950929,0.0002728459,0.0008602404,0.001230157,0.001368313,0.001175574],"domain_scores_gemma":[0.9959157,0.0004345004,0.001050059,0.0009440148,0.0006325873,0.001023128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008737235,0.002044542,0.002211666,0.0002457697,0.0004355694,0.0002810189,0.001277835,0.0000168598,0.1852981,0.519629,0.2773056,0.01038034],"study_design_scores_gemma":[0.0008926023,0.0001317613,0.01632772,0.0002345972,0.0001380551,0.0004902076,0.0004353396,0.0001529533,0.002417879,0.0006288564,0.977413,0.000737034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2092392,0.001211697,0.000383415,0.2038037,0.1024327,0.002571559,0.001492373,0.001059125,0.4778063],"genre_scores_gemma":[0.9203711,0.0002317097,0.0002021531,0.0001686129,0.07644339,0.0002264366,0.0003835597,0.00001523219,0.001957849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7111319,"threshold_uncertainty_score":0.9998057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972092255801179,"score_gpt":0.2607559249972873,"score_spread":0.2310350024392755,"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."}}