{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001029883,0.0003596731,0.000280917,0.000394924,0.00007235065,0.00003024874,0.0008601465,0.0009607471,0.001789546],"category_scores_gemma":[0.00005565786,0.0003838046,0.0001444829,0.0002478815,0.0001355567,0.000004306055,0.0004924497,0.0004405111,0.0008554168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000476463,"about_ca_system_score_gemma":0.00008934178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001455757,"about_ca_topic_score_gemma":0.00004558604,"domain_scores_codex":[0.998849,0.00006461164,0.0001553059,0.0003951213,0.0002012323,0.0003347331],"domain_scores_gemma":[0.9986268,0.000007719478,0.0002682451,0.0009269812,0.00005049215,0.0001197447],"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":[0.00001660632,0.00002992285,0.0001253302,0.00007901582,0.0001399026,0.00001649283,0.00001224613,0.000005461292,0.001529903,0.001946895,0.9952073,0.0008909718],"study_design_scores_gemma":[0.00039955,0.00013182,0.00002252513,0.00006742456,0.00005039943,0.0000121022,0.00002570666,0.00005470089,0.001600925,0.00004039619,0.9971482,0.0004462063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002522084,0.0001819454,0.004640299,0.0001250793,0.0003198505,0.0004157301,0.00004009575,0.0004257938,0.993599],"genre_scores_gemma":[0.0005263077,0.0004493359,0.009792434,0.0001584482,0.0004247674,9.097566e-7,0.0003470686,0.0002869271,0.9880138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.005585196,"threshold_uncertainty_score":0.9999225,"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."}}