{"id":"W7070477026","doi":"","title":"@PumpUpThaVolume: Episode067 - Temporary Paradise","year":2013,"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":"Paradise; Sound (geography); Patron saint; Adventure","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":[0.000549392,0.0007082667,0.0005518379,0.001203017,0.002370263,0.005261419,0.001155033,0.001380755,0.829962],"category_scores_gemma":[0.003492236,0.0003866048,0.0005224356,0.001532569,0.0002716361,0.0036571,0.004147179,0.00180988,0.6515982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256149,"about_ca_system_score_gemma":0.0009194236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008811996,"about_ca_topic_score_gemma":0.02416844,"domain_scores_codex":[0.9995715,0.0000395982,0.00001532728,0.00004951192,0.0002048485,0.0001191266],"domain_scores_gemma":[0.9986122,0.0001335159,0.00005377493,0.0001997827,0.0004624595,0.0005382047],"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":[0.0000277366,0.000007830782,0.00005852785,0.00002298066,6.821111e-7,0.00001312449,0.00002990716,0.000008028251,0.0000363485,0.0003497451,0.9903226,0.009122416],"study_design_scores_gemma":[0.000005633211,0.000005274584,0.0003350211,0.00002358714,7.853993e-7,0.00001402148,0.00006629247,0.00002554365,0.00008294553,0.0001862692,0.9992508,0.000003834667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001215783,0.0003397208,0.001077865,0.002362293,0.004241968,0.0001973606,0.04170147,0.009325488,0.939538],"genre_scores_gemma":[0.003718622,0.0002165959,0.0007866605,0.000626303,0.0006670373,0.0001151948,0.02275779,0.006128549,0.9649832],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.829962,"threshold_uncertainty_score":0.2425386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004111113898900889,"score_gpt":0.1883900663295342,"score_spread":0.1842789524306333,"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."}}