{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006811629,0.0008195869,0.0004786699,0.0007916537,0.002037862,0.004123454,0.0007441665,0.001813247,0.691796],"category_scores_gemma":[0.001587784,0.0003462863,0.0003943456,0.0005318629,0.0004606702,0.001724775,0.002429171,0.002359488,0.6239791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985783,"about_ca_system_score_gemma":0.002077956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288638,"about_ca_topic_score_gemma":0.05415482,"domain_scores_codex":[0.9994305,0.00004323765,0.00001564486,0.0001340611,0.0002367164,0.0001398945],"domain_scores_gemma":[0.9992336,0.00003550997,0.00001930333,0.00005224493,0.0003480188,0.000311258],"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":[0.0000120773,0.00000619714,0.00006275068,0.00001744318,8.12498e-7,0.00002695802,0.00001233023,0.00001202778,0.00005374475,0.001231536,0.9858052,0.0127589],"study_design_scores_gemma":[0.000001950625,0.000004184519,0.0001695358,0.00002821886,4.070513e-7,0.00001897675,0.00002621167,0.000007580806,0.00003283212,0.0001399377,0.9995684,0.000001734307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004202564,0.002746263,0.0003649251,0.01052735,0.01453412,0.00008723511,0.00205371,0.0007340523,0.9685321],"genre_scores_gemma":[0.0004672746,0.0004408196,0.00006005497,0.0009663014,0.0001688234,0.00001119782,0.0002598491,0.00009465677,0.9975311],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.691796,"threshold_uncertainty_score":0.4396155,"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."}}