{"id":"W4229847747","doi":"10.29173/irie196","title":"On IRIE Vol. 5","year":2006,"lang":"en","type":"article","venue":"The International Review of Information Ethics","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":"Computer science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001356795,0.001014957,0.0008332744,0.002289276,0.002707363,0.008647558,0.001247916,0.004186335,0.6231028],"category_scores_gemma":[0.00407003,0.0004489393,0.0009200234,0.001477894,0.001614031,0.002309628,0.00328164,0.004804016,0.5034107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003263667,"about_ca_system_score_gemma":0.002073301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005314627,"about_ca_topic_score_gemma":0.01237748,"domain_scores_codex":[0.9988862,0.0001446042,0.00006241249,0.000212736,0.0004898983,0.0002042221],"domain_scores_gemma":[0.9990298,0.0001949353,0.00004997861,0.0001775527,0.0003702098,0.0001774466],"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":[0.00007044089,0.0000880774,0.0004659414,0.0002183109,0.00001233413,0.0002132358,0.0001132314,0.00006839506,0.0005930784,0.01264538,0.9301578,0.05535376],"study_design_scores_gemma":[0.000004066881,0.000009948398,0.0004053355,0.0001444536,0.000002176471,0.0000465267,0.00004771967,0.00001708057,0.00005853738,0.0005247004,0.9987361,0.000003350919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0006772582,0.005055788,0.0002905081,0.01049294,0.01187519,0.0001294808,0.0008538923,0.0003504775,0.9702745],"genre_scores_gemma":[0.001926279,0.002185463,0.0001830482,0.008145869,0.001998202,0.00005310972,0.0004189838,0.0001053841,0.9849836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6231028,"threshold_uncertainty_score":0.537598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064367823791808,"score_gpt":0.3241105961391916,"score_spread":0.3034669179012736,"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."}}