{"id":"W6931248427","doi":"10.5281/zenodo.3755782","title":"RNA-seq-base causal gene prediction with alpha and beta scoring","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"BETA (programming language); Alpha (finance); Gene; Gene prediction; Gene interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000009725967,0.0002206036,0.0002055345,0.00008661306,0.00003416361,0.00001554941,0.000113527,0.0003780859,0.04354451],"category_scores_gemma":[0.00001425658,0.000214268,0.00002280909,0.00008910678,0.00001089836,0.00004048154,0.0000533366,0.0003620207,0.0004705777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003074307,"about_ca_system_score_gemma":0.00002353299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001073077,"about_ca_topic_score_gemma":0.00004153502,"domain_scores_codex":[0.9994007,0.000005617079,0.0001007253,0.0002385498,0.00007767921,0.0001767825],"domain_scores_gemma":[0.9996696,0.00001100196,0.000041403,0.0002008001,0.000007447847,0.0000697767],"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":[0.000004590736,0.000004217832,0.00005540252,0.0004852624,0.0001313313,0.00009699459,0.00003026491,0.0002549209,0.00008436858,0.00001098559,0.9940101,0.004831559],"study_design_scores_gemma":[0.000448911,0.0000909165,0.0007760703,0.002413531,0.00005735496,0.00004726371,0.000009434343,0.004623984,0.002981168,0.000007358032,0.9880567,0.000487341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002245634,0.01004884,0.0002866407,0.0001892486,0.000305251,0.001011053,0.586668,0.0114239,0.3898426],"genre_scores_gemma":[0.1633722,0.001206352,0.007339441,0.0006400522,0.005836193,0.001889545,0.5992307,0.007150629,0.2133349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1765076,"threshold_uncertainty_score":0.9573298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398289900742726,"score_gpt":0.1834027171508323,"score_spread":0.1694198181434051,"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."}}