{"id":"W7070992157","doi":"","title":"Season Two - Episode Three - Bayani Trinidad and Forrest Eaglespeaker","year":2019,"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":"Indigenous; Work (physics)","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":[0.0002199032,0.0003934606,0.0003957683,0.00005910018,0.00005020094,0.00005535867,0.0003140972,0.0005036939,0.03779763],"category_scores_gemma":[0.0001497442,0.0003810886,0.000128633,0.000005977483,0.0001358711,4.573276e-8,0.0002288669,0.0002819331,0.005109404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001478899,"about_ca_system_score_gemma":0.00003354637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595644,"about_ca_topic_score_gemma":0.003812857,"domain_scores_codex":[0.9985668,0.00005377013,0.0005356717,0.0002428293,0.0002923455,0.0003085643],"domain_scores_gemma":[0.9985985,0.00004057434,0.0005964788,0.0005626412,0.00008307788,0.0001187441],"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":[0.00008718963,0.00002157334,0.0001448887,0.0005896332,0.00009057548,0.000002638868,0.00003011302,0.0001479967,0.000003438729,0.0000321937,0.9970755,0.001774232],"study_design_scores_gemma":[0.0009997613,0.0001942932,0.00005361337,0.0001456428,0.00005368993,0.0000579825,0.00002129545,0.00009712025,0.00002845765,0.000003811386,0.9979312,0.0004131128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003461781,0.000643661,0.00000582993,0.00009741459,0.0002597543,0.0005367249,0.0002751058,0.00006692519,0.9977684],"genre_scores_gemma":[0.001174181,0.0002722612,0.002257795,0.0003107288,0.0001940394,0.00001244429,0.001068007,0.0001242401,0.9945863],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03268823,"threshold_uncertainty_score":0.9998641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004359523016685494,"score_gpt":0.1991623353903133,"score_spread":0.1948028123736278,"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."}}