{"id":"W6986537671","doi":"","title":"Port St Johns AFS 2010-11 final (Autosaved)(1)","year":2011,"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":"Port (circuit theory); Work (physics); Payment; Financial Audit","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001887687,0.0009457235,0.0008455632,0.002615546,0.00172098,0.006069005,0.002155532,0.001865773,0.8217608],"category_scores_gemma":[0.008695948,0.0008779039,0.0007381904,0.003998208,0.0004599541,0.003393115,0.002212307,0.002264053,0.8300062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003055293,"about_ca_system_score_gemma":0.00447258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03625742,"about_ca_topic_score_gemma":0.05914351,"domain_scores_codex":[0.9984605,0.0001459973,0.00009362133,0.0001446828,0.0009487449,0.0002063122],"domain_scores_gemma":[0.9957415,0.0004816424,0.0001855428,0.0003872871,0.002682542,0.0005215565],"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":[0.00001679852,0.000005651647,0.00002109488,0.00003595821,7.669409e-7,0.000006392506,0.000005683,0.00001594424,0.00002189834,0.0003980389,0.9962613,0.003210471],"study_design_scores_gemma":[0.0000235884,0.000009809869,0.0005039362,0.00006865189,0.000001867795,0.00001220115,0.00002736702,0.00002882247,0.0001302789,0.0005210766,0.9986621,0.00001023767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005090433,0.0002819041,0.0007612409,0.002572317,0.004465227,0.0002084936,0.3541684,0.00499203,0.6320414],"genre_scores_gemma":[0.001263608,0.0002103124,0.0006252147,0.0007945677,0.0002871879,0.00018131,0.08784653,0.003434671,0.9053565],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8217608,"threshold_uncertainty_score":0.2542366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007570768495666839,"score_gpt":0.1945518728498736,"score_spread":0.1869811043542068,"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."}}