{"id":"W2808574250","doi":"10.13140/rg.2.1.3769.2406/1","title":"EDDA Study Designs Taxonomy (version 2.0)","year":2016,"lang":"en","type":"article","venue":"D-Scholarship@Pitt (University of Pittsburgh)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Taxonomy (biology); Plural; Library science; Subject (documents); Computer science; Information retrieval; Linguistics; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0005361498,0.0001976445,0.0002631746,0.0001176907,0.0002147754,0.00001361319,0.000619204,0.0002772459,0.0002340109],"category_scores_gemma":[0.000191157,0.0001745123,0.0001639707,0.0001695276,0.0003227792,0.00002386652,0.0003548841,0.0001486244,0.00006024868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003849823,"about_ca_system_score_gemma":0.00009551759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005148542,"about_ca_topic_score_gemma":0.00005125898,"domain_scores_codex":[0.998542,0.0001909678,0.0001605141,0.0005085968,0.0002650331,0.0003328873],"domain_scores_gemma":[0.9989261,0.00005674275,0.0001529544,0.0005345391,0.0001423267,0.0001873616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008980712,0.001078613,0.1938062,0.00004407321,0.000465768,0.0001880942,0.0005656037,0.000003071445,0.5373847,0.0001390884,0.01527802,0.2501487],"study_design_scores_gemma":[0.00769413,0.004051168,0.3580644,0.0001777072,0.0002503255,0.00003982885,0.007649203,0.000005231142,0.0181387,0.002168953,0.6006454,0.001114941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557371,0.0002384852,0.04264361,0.0004379388,0.0001783568,0.0003040247,0.00001865245,0.000053393,0.0003885014],"genre_scores_gemma":[0.9968582,0.0001161111,0.001904762,0.0000637388,0.00008378923,0.000001669875,0.0000128151,0.00001525385,0.0009436824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5853674,"threshold_uncertainty_score":0.7116405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116250546775349,"score_gpt":0.2489181448389418,"score_spread":0.1977556393711883,"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."}}