{"id":"W4386469584","doi":"10.32920/24093720","title":"Mining significant high utility gene regulation sequential patterns","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gene; Microarray; Microarray analysis techniques; Gene expression; Computational biology; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004851472,0.0002376308,0.0002476874,0.0001249312,0.0001490723,0.0004925431,0.001539317,0.0001911107,0.00009376025],"category_scores_gemma":[0.00002526311,0.0002335994,0.0001006802,0.0002372178,0.000035228,0.0001925189,0.002730434,0.0002710061,0.000160002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005921034,"about_ca_system_score_gemma":0.0001557886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329704,"about_ca_topic_score_gemma":0.00004876882,"domain_scores_codex":[0.9977299,0.00006462631,0.0004290166,0.001098271,0.0003798155,0.0002983803],"domain_scores_gemma":[0.9976421,0.00008213066,0.0002134154,0.001843119,0.0001093418,0.0001098848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009716089,0.0004291075,0.003810423,0.0003853707,0.0003100838,0.00008827727,0.002099445,0.005085703,0.004323144,0.0853726,0.04987849,0.8482077],"study_design_scores_gemma":[0.0001726292,0.00002214588,0.05931206,0.00008941302,0.00003078752,0.000004337648,0.00004245453,0.9136463,0.007544535,0.01628018,0.002265634,0.0005894686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04982708,0.000006481102,0.94587,0.001424415,0.001146645,0.0002898661,0.0002828685,0.0008622942,0.0002903661],"genre_scores_gemma":[0.5887806,0.00001795877,0.4076647,0.00008420692,0.0003503885,0.0001617305,0.001130508,0.00002603757,0.001783875],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9085606,"threshold_uncertainty_score":0.9525908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07948044337412871,"score_gpt":0.2954129372179342,"score_spread":0.2159324938438054,"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."}}