{"id":"W7012151354","doi":"","title":"CBCR 3 2010 10 15","year":2010,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staring; Zoom; Window (computing); Face (sociological concept); Key (lock)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002157045,0.000384757,0.000342268,0.00006857447,0.00005592015,0.00004587975,0.0004878537,0.001014738,0.4694277],"category_scores_gemma":[0.0002814989,0.0003781194,0.0001865248,0.0000057171,0.0001706509,1.851584e-8,0.0001957752,0.0004781382,0.01663189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000106072,"about_ca_system_score_gemma":0.00004870719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216881,"about_ca_topic_score_gemma":0.001799354,"domain_scores_codex":[0.9985148,0.0000481228,0.0005881669,0.0002080308,0.0003281094,0.0003127804],"domain_scores_gemma":[0.9983261,0.00001925832,0.0006857683,0.0006900373,0.0001488559,0.0001299279],"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":[0.00005363631,0.0000268298,0.000005900767,0.0003112725,0.00006605536,0.000002539887,0.00002610571,0.00005861654,0.00002190985,0.000008974282,0.9978845,0.001533681],"study_design_scores_gemma":[0.0004259043,0.0001933555,0.000008889559,0.00007660858,0.00003771309,0.00006820286,0.00002046326,0.00002570834,0.0001338207,0.000002107019,0.9986041,0.0004030798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007190901,0.000241889,0.000002284669,0.00009418826,0.0005523163,0.000319827,0.0001517779,0.00009412042,0.9984717],"genre_scores_gemma":[0.000170072,0.0001968644,0.004342726,0.0003507303,0.0003792762,0.00001254787,0.001055792,0.0001670948,0.9933249],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4527958,"threshold_uncertainty_score":0.9998671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003699523143971403,"score_gpt":0.1903168316491372,"score_spread":0.1866173085051658,"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."}}