{"id":"W7068233968","doi":"","title":"JumpTV","year":2005,"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":"The Internet; Selection (genetic algorithm); Internet access; Variety (cybernetics); Digital subscriber line; IPTV; Quality (philosophy); Interactive television","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":[0.0001593357,0.0003214534,0.0002916846,0.00005836852,0.00004004143,0.00003106024,0.0003690862,0.0005676482,0.3362328],"category_scores_gemma":[0.0001398325,0.0003216749,0.0001638685,0.000004480001,0.0001095402,1.096082e-8,0.0001474449,0.0002341202,0.0113453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001560621,"about_ca_system_score_gemma":0.00003324909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008350025,"about_ca_topic_score_gemma":0.000703471,"domain_scores_codex":[0.9987089,0.00004449635,0.0005270401,0.000170911,0.0002832145,0.0002654292],"domain_scores_gemma":[0.9987404,0.00001576716,0.0005544302,0.0005031307,0.00008902746,0.00009718214],"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":[0.00003581802,0.00002373252,0.000005985359,0.0002759838,0.00006877985,0.000001710804,0.00002750703,0.0002513468,0.000003130245,0.00001364246,0.995902,0.00339038],"study_design_scores_gemma":[0.0003794854,0.0001539118,0.00000917346,0.0000938591,0.00003276359,0.00005319696,0.00002032001,0.00003181196,0.00005573272,8.300872e-7,0.9988311,0.0003378377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003581639,0.0004694306,0.000002577878,0.00008639212,0.0002089346,0.0002684515,0.0001071421,0.00008684683,0.9987344],"genre_scores_gemma":[0.0002572279,0.0004172512,0.004450967,0.0004836265,0.0004237806,0.000009813788,0.0006873991,0.0001476912,0.9931222],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3248875,"threshold_uncertainty_score":0.9999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003446665809099926,"score_gpt":0.1919651910460268,"score_spread":0.1885185252369269,"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."}}