{"id":"W6968859774","doi":"10.5281/zenodo.4651578","title":"Supplementary Figures","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Venn diagram; Intersection (aeronautics); Diagram; Network analysis; Social network analysis; Gene","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":[0.002119218,0.001618621,0.00134279,0.003618115,0.002528337,0.004308602,0.002577514,0.002216752,0.8089672],"category_scores_gemma":[0.01155244,0.00092656,0.001476709,0.004350643,0.0005382125,0.002553012,0.001731252,0.002267953,0.4939485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002348521,"about_ca_system_score_gemma":0.003078714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006313509,"about_ca_topic_score_gemma":0.01100636,"domain_scores_codex":[0.9980704,0.0002762083,0.0001545432,0.0004910409,0.0008514064,0.0001564294],"domain_scores_gemma":[0.9941963,0.001823795,0.0003601604,0.0008359002,0.002199866,0.0005838747],"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":[0.00006266399,0.00002356127,0.0002366737,0.000555769,0.00001976,0.00006872048,0.00002418554,0.0002911201,0.000427883,0.002664623,0.9795379,0.01608719],"study_design_scores_gemma":[0.00004707744,0.00001696458,0.0006908762,0.0001964469,0.00001646822,0.000155025,0.00003310657,0.0002151872,0.0004513393,0.003896968,0.9942601,0.00002050813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009648253,0.002282092,0.01664596,0.002390023,0.007980036,0.0004331243,0.8451135,0.01087436,0.113316],"genre_scores_gemma":[0.006846004,0.00271093,0.01982704,0.003760257,0.001441696,0.001213546,0.7934355,0.007405028,0.1633599],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8089672,"threshold_uncertainty_score":0.2724851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040215194461139,"score_gpt":0.2461036457942737,"score_spread":0.2257014938496623,"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."}}