{"id":"W4394331727","doi":"10.6084/m9.figshare.22151648","title":"Alternative splicing analysis results","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Colleges and Universities","keywords":"Computational biology; RNA splicing; Alternative splicing; Computer science; Biology; Genetics; Gene; Exon","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002873695,0.002932818,0.002345103,0.005170762,0.001699055,0.003657311,0.002896516,0.002504679,0.09174486],"category_scores_gemma":[0.008399054,0.0008201149,0.002674382,0.006403566,0.0006251152,0.001214702,0.002088152,0.002722168,0.09419383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271615,"about_ca_system_score_gemma":0.002565442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006280675,"about_ca_topic_score_gemma":0.01748802,"domain_scores_codex":[0.9971584,0.0003687389,0.00032953,0.001179157,0.0006277615,0.0003364218],"domain_scores_gemma":[0.9962585,0.001739257,0.0002941444,0.0009693957,0.0005236291,0.0002150861],"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":[0.0005556026,0.00009545665,0.006646915,0.005053098,0.0003515821,0.0002634404,0.0001584277,0.001401865,0.003458164,0.002417994,0.9678436,0.01175386],"study_design_scores_gemma":[0.0004035401,0.00005123718,0.009313343,0.0006617773,0.0002794862,0.0002476394,0.000125687,0.0007777542,0.002880141,0.004630014,0.9805634,0.00006601749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004485396,0.0001389695,0.0002715487,0.00003414598,0.00001795898,0.0000133438,0.9976393,0.0006301696,0.0008060488],"genre_scores_gemma":[0.001008424,0.00009115201,0.001174861,0.00005431449,0.000004143,0.0001067722,0.9967783,0.0002547708,0.0005272699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09174486,"threshold_uncertainty_score":0.3069172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04217358660573544,"score_gpt":0.3350440327679406,"score_spread":0.2928704461622052,"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."}}