{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004239312,0.0006467526,0.0003556598,0.001618903,0.0009287401,0.002916923,0.001657185,0.0007286904,0.680133],"category_scores_gemma":[0.001564403,0.0003379653,0.0003542065,0.001541439,0.0002467753,0.002669897,0.002600242,0.001070812,0.3902853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005664601,"about_ca_system_score_gemma":0.000720493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003187169,"about_ca_topic_score_gemma":0.006742176,"domain_scores_codex":[0.9996017,0.00002858891,0.00001399779,0.00006379245,0.0002398619,0.00005217727],"domain_scores_gemma":[0.9993023,0.00007887682,0.00002563521,0.0001329512,0.0002623649,0.0001979337],"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":[0.0001259243,0.00003868369,0.000263993,0.0001723437,0.000005115735,0.00008136067,0.0001195384,0.00008285911,0.001113456,0.005662322,0.8825709,0.1097635],"study_design_scores_gemma":[0.00001471106,0.00001298385,0.0004898609,0.00003018179,0.000003630625,0.00008880801,0.00005020616,0.0001511789,0.0003838257,0.0009561607,0.9978111,0.000007343191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001586366,0.0004239031,0.004944104,0.0006592582,0.0006490162,0.000139912,0.01892371,0.01479272,0.957881],"genre_scores_gemma":[0.007946386,0.0005986908,0.004095639,0.0006082945,0.0002777782,0.00009470514,0.04358292,0.005232105,0.9375637],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.319867,"threshold_uncertainty_score":0,"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."}}