{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002550581,0.0004765576,0.0004294758,0.0001022766,0.00006740998,0.00003978944,0.0005587499,0.0007965233,0.3130329],"category_scores_gemma":[0.0001646457,0.0004723741,0.0002352571,0.000008839815,0.0001858113,4.214525e-8,0.0002409232,0.0003230719,0.0075267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001975553,"about_ca_system_score_gemma":0.00007724038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005001404,"about_ca_topic_score_gemma":0.002604263,"domain_scores_codex":[0.9981247,0.00006525021,0.000773023,0.0002621491,0.0003716781,0.0004032376],"domain_scores_gemma":[0.9980427,0.00001639471,0.0008965243,0.0007375971,0.0001517309,0.0001550486],"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":[0.0000534507,0.00004770871,0.00006268515,0.0004002821,0.00009566534,0.000008073108,0.00007001559,0.00006288719,0.000003026811,0.00003124852,0.9984162,0.0007487541],"study_design_scores_gemma":[0.000528164,0.0002747379,0.00005403292,0.0001365364,0.00006306105,0.0001333129,0.00003312172,0.00002777901,0.00007092742,0.00000252383,0.9981712,0.0005046134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002021802,0.0002288877,0.000006048001,0.00005891678,0.0004787245,0.0003878369,0.0002682385,0.0001083178,0.9982609],"genre_scores_gemma":[0.0005384155,0.000544362,0.003398727,0.0003416491,0.0002936727,0.00001652631,0.001523577,0.0001788174,0.9931642],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3055062,"threshold_uncertainty_score":0.9997728,"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."}}