{"id":"W7070352690","doi":"","title":"Paul Martin - Sept 14","year":2021,"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":"Context (archaeology); Paraphernalia","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":[0.0001994317,0.0003465911,0.0003502689,0.00004822245,0.0000471204,0.00004596419,0.000336314,0.00061619,0.3288575],"category_scores_gemma":[0.0002530214,0.0003541365,0.0002019357,0.000007182781,0.0001044312,1.21293e-8,0.0002163792,0.0002784744,0.003626083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001592741,"about_ca_system_score_gemma":0.000051996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006111324,"about_ca_topic_score_gemma":0.0006582392,"domain_scores_codex":[0.9984871,0.00008143445,0.0006010493,0.0002113379,0.0003232005,0.0002959048],"domain_scores_gemma":[0.9985541,0.00002012123,0.0005939412,0.0005768819,0.0001461002,0.0001088596],"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":[0.00003283406,0.00002822282,0.00001337956,0.0005776852,0.00009588926,0.00000838354,0.00003131758,0.0001513383,0.000009586206,0.000007063617,0.9981129,0.0009314036],"study_design_scores_gemma":[0.0003970634,0.0001474494,0.000008871834,0.0001793778,0.0000361947,0.00009170241,0.00004174109,0.00003814113,0.0001329668,0.000001871507,0.9985543,0.000370348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008178509,0.0008381027,0.000003229523,0.0001122107,0.0002983204,0.000254366,0.0001088741,0.00006462773,0.9982385],"genre_scores_gemma":[0.0002844259,0.0003353294,0.003271078,0.0004966964,0.0002530722,0.00001223717,0.001926102,0.0001392228,0.9932818],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3252314,"threshold_uncertainty_score":0.999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004179551979302814,"score_gpt":0.1957839975883977,"score_spread":0.1916044456090949,"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."}}