{"id":"W6929917396","doi":"10.5281/zenodo.10063878","title":"SystemsBioinformatics/cbmpy: CBMPy release 0.8.8","year":2023,"lang":"en","type":"other","venue":"VU Research Portal","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glycemic Index Laboratories","funders":"","keywords":"Merge (version control); Swap (finance); Merge algorithm; Suite","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007181116,0.0002704036,0.0002573294,0.000415961,0.00008994058,0.00006823475,0.0004277179,0.0005936093,0.001231762],"category_scores_gemma":[0.0004441755,0.0002625437,0.0001640539,0.0002930613,0.0001992995,0.000003932449,0.0003185651,0.0003226657,0.001975194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002950157,"about_ca_system_score_gemma":0.00039349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000244157,"about_ca_topic_score_gemma":0.0004601679,"domain_scores_codex":[0.9976123,0.0001527147,0.000353215,0.0004903486,0.0007665082,0.0006249071],"domain_scores_gemma":[0.998342,0.00002556228,0.0001689772,0.001027585,0.0001531752,0.0002827273],"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":[0.00002249845,0.00003539193,0.0001519866,0.0003659409,0.0001439024,0.00007347014,0.00001027545,0.000003948252,0.005452895,0.0002300563,0.9927905,0.0007190849],"study_design_scores_gemma":[0.0003409443,0.0001086401,0.0002625124,0.0003505841,0.00001917695,0.00002291003,0.00009492672,0.00007308179,0.002574477,0.00002533915,0.9957895,0.0003379061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003744314,0.003514411,0.0001344409,0.0001195973,0.0007405695,0.001635255,0.0007413846,0.0004723428,0.9888977],"genre_scores_gemma":[0.02704171,0.001005452,0.0002214497,0.0000339955,0.002074634,0.0001871092,0.001823918,0.001461356,0.9661504],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02329739,"threshold_uncertainty_score":0.9999827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489002886800262,"score_gpt":0.3466417670920134,"score_spread":0.3117517382240108,"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."}}