{"id":"W2970568506","doi":"","title":"Panorama: BBN participation in SM-KBP 2018.","year":2018,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Panorama; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002475993,0.00005200729,0.0001124277,0.0000730917,0.00007020149,0.000002768054,0.00004251257,0.0004427875,0.00006905154],"category_scores_gemma":[0.0000327718,0.00004150633,0.00001403786,0.0002021381,0.0006179681,0.00003475613,0.00002174338,0.0002644488,0.00002606298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004628535,"about_ca_system_score_gemma":0.00001974399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009237431,"about_ca_topic_score_gemma":0.000007392204,"domain_scores_codex":[0.9996022,0.00002402012,0.0001422986,0.0001011221,0.00003598295,0.00009434886],"domain_scores_gemma":[0.999642,0.00005958634,0.00004283405,0.0001876543,0.000043021,0.00002496765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001614503,0.00009931067,0.002389934,0.00002790028,0.00001909883,3.278181e-7,0.00044982,4.122152e-7,0.003297985,0.972609,0.0001032754,0.02084148],"study_design_scores_gemma":[0.001143262,0.0004446394,0.06515213,0.00005668225,0.0001681308,0.00002418128,0.001703227,0.00003615439,0.2044033,0.6778562,0.048829,0.0001830625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608792,0.001270779,0.01680726,0.004943589,0.00005000512,0.0004332902,0.000003723724,0.00008244004,0.01552972],"genre_scores_gemma":[0.9985864,0.0002472746,0.0001602291,0.0001305069,0.00005279655,0.00006827977,0.000008855274,0.000004133037,0.0007415526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2947528,"threshold_uncertainty_score":0.3415183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008986571569960019,"score_gpt":0.2847234102396882,"score_spread":0.2757368386697281,"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."}}