{"id":"W4394392710","doi":"10.6084/m9.figshare.23734206","title":"All traits details","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Computer science","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":[0.001241741,0.001831642,0.001799614,0.003065956,0.001042884,0.002419143,0.001908923,0.001467362,0.4991007],"category_scores_gemma":[0.00892557,0.000817042,0.001224463,0.004837133,0.0003349057,0.001617917,0.00171166,0.001738374,0.2561988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113304,"about_ca_system_score_gemma":0.002026362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064366,"about_ca_topic_score_gemma":0.02042797,"domain_scores_codex":[0.9991512,0.0001415966,0.0001255757,0.0003228376,0.0001388995,0.0001199016],"domain_scores_gemma":[0.9950427,0.002444888,0.0004383131,0.0008973737,0.0007429068,0.0004338671],"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":[0.0001252232,0.0000182544,0.00114651,0.0009212248,0.00004211551,0.00003149283,0.00002572005,0.0001571947,0.0001606189,0.0005195571,0.9937034,0.003148559],"study_design_scores_gemma":[0.0003607273,0.00002489587,0.005042575,0.0004880522,0.00006273917,0.0001363915,0.00006232054,0.0002176288,0.0003442736,0.002976401,0.9902503,0.00003350955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004145253,0.00002584866,0.00007297124,0.00002951594,0.000009296356,0.000009391149,0.9990982,0.0001843452,0.0005290162],"genre_scores_gemma":[0.0004642349,0.00006365345,0.0004752364,0.0001548131,0.00001214599,0.0001295952,0.996739,0.0004035252,0.00155779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4991007,"threshold_uncertainty_score":0.714472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151620699553831,"score_gpt":0.2740994539034253,"score_spread":0.242583246907887,"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."}}