{"id":"W4394315295","doi":"10.6084/m9.figshare.21629314","title":"Additional file 1 of Modular networks and genomic variation during progression from stable angina pectoris through ischemic cardiomyopathy to chronic heart failure","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Vector Institute; University of Toronto; University Health Network; Canadian Institute for Advanced Research","funders":"","keywords":"Cardiology; Heart failure; Internal medicine; Ischemic cardiomyopathy; Angina; Stable angina; Medicine; Cardiomyopathy; Modular design; Variation (astronomy); Computer science; Coronary heart disease; Ejection fraction; Myocardial infarction; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009134693,0.001313788,0.001201516,0.001760467,0.0006612915,0.001673592,0.001905202,0.001345288,0.4080245],"category_scores_gemma":[0.01140608,0.000488632,0.001114781,0.002980711,0.0003151126,0.001185637,0.001164411,0.001221977,0.05526333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009901277,"about_ca_system_score_gemma":0.001586155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009908818,"about_ca_topic_score_gemma":0.02158823,"domain_scores_codex":[0.9995254,0.00007206963,0.00006482572,0.0001793771,0.00007911821,0.00007916976],"domain_scores_gemma":[0.9948437,0.003553533,0.0004216924,0.0004040379,0.0005005573,0.0002763367],"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":[0.0002716954,0.00007461606,0.007068122,0.002596458,0.0001402326,0.0000917458,0.00006025944,0.0008289673,0.0001743527,0.0008604566,0.9838113,0.004021779],"study_design_scores_gemma":[0.004858243,0.0002287149,0.06470699,0.00305271,0.0005378295,0.0009271093,0.0004172171,0.003570775,0.001041628,0.01271477,0.9077953,0.0001488367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001572503,0.00001846994,0.00004544843,0.00002704605,0.000004453749,0.000008326731,0.999544,0.00005597364,0.0001390946],"genre_scores_gemma":[0.003074975,0.00006916935,0.0005813436,0.0001092256,0.0000166116,0.0002453216,0.9948587,0.00009991257,0.000944697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4080245,"threshold_uncertainty_score":0.8443812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006446975404041977,"score_gpt":0.229769557904668,"score_spread":0.223322582500626,"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."}}