{"id":"W7002495588","doi":"","title":"11: James Thunder","year":2018,"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":"Thunder; Conversation; Pledge; Happening; Action (physics); Indigenous","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":[0.0001849029,0.0003414829,0.0003028589,0.00005826595,0.00005325831,0.00004153125,0.0004075482,0.0006065798,0.243185],"category_scores_gemma":[0.000181227,0.0003286918,0.0001617774,0.000005404003,0.0002063288,1.515109e-8,0.0001871532,0.0001578944,0.01431299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001468761,"about_ca_system_score_gemma":0.00003874228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001162567,"about_ca_topic_score_gemma":0.0009051188,"domain_scores_codex":[0.998651,0.0000562413,0.0005171153,0.0001927478,0.0003000094,0.0002828686],"domain_scores_gemma":[0.998606,0.00001624811,0.0005843302,0.0005597952,0.0001367805,0.00009685423],"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":[0.00005128108,0.00002141145,0.00001750277,0.0003519394,0.00007714018,0.000001677994,0.00003298327,0.00004084587,0.000002387978,0.00001724437,0.9986511,0.0007344995],"study_design_scores_gemma":[0.0003677949,0.0002856591,0.000009522166,0.0001371578,0.0000370344,0.00005080301,0.00005073271,0.00002145555,0.00007949013,0.000003501034,0.9985996,0.0003571969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009539102,0.000256661,0.000004805585,0.0000934222,0.000306124,0.0002759655,0.00006656042,0.00008698855,0.9988141],"genre_scores_gemma":[0.0004772937,0.0002126583,0.003336187,0.0004933091,0.000401477,0.000009813786,0.0004973613,0.0001476526,0.9944242],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.228872,"threshold_uncertainty_score":0.9999165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004303345655592898,"score_gpt":0.1974015233018802,"score_spread":0.1930981776462873,"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."}}