{"id":"W7070318237","doi":"","title":"Red Cloud","year":2013,"lang":"en","type":"other","venue":"ThinkTech (Texas Tech University)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TSG101; Liquation; Limiting; Gloom; Circumstantial evidence; Buckle","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":[],"consensus_categories":[],"category_scores_codex":[0.0003853148,0.0006061115,0.000378221,0.001148848,0.003622225,0.004171589,0.001045786,0.001414869,0.5900729],"category_scores_gemma":[0.001040813,0.0003230177,0.0004506001,0.0009190001,0.0005323954,0.002656385,0.002974477,0.001995349,0.3795443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459942,"about_ca_system_score_gemma":0.001376545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009585503,"about_ca_topic_score_gemma":0.01739489,"domain_scores_codex":[0.9993507,0.00003894131,0.00002526431,0.0001185254,0.00029894,0.0001676532],"domain_scores_gemma":[0.9992155,0.00005267077,0.00003313231,0.0001436377,0.0003651901,0.0001898374],"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":[0.00006098696,0.00003515693,0.0005742235,0.00009916093,0.000004000494,0.0003177274,0.0001509702,0.00009877952,0.001625828,0.01283608,0.8860877,0.09810942],"study_design_scores_gemma":[0.000004816032,0.000006177082,0.0003696038,0.00002490233,0.000001260033,0.0001857513,0.00007968009,0.0000696471,0.0003708385,0.000599865,0.9982817,0.000005692397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001655243,0.0007021769,0.002155714,0.001991385,0.003555679,0.00009934455,0.00236364,0.002498889,0.984978],"genre_scores_gemma":[0.02078552,0.001065134,0.002646609,0.002322207,0.0008844538,0.00004781907,0.003997463,0.00139223,0.9668586],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5900729,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004450924681999022,"score_gpt":0.1927879455822812,"score_spread":0.1883370209002822,"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."}}