{"id":"W4394181860","doi":"10.6084/m9.figshare.22942550","title":"Genetics results","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic Associations and Epidemiology","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; Evolutionary biology; Computational biology; Biology","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":[0.002582091,0.001634467,0.001881612,0.003010043,0.001176556,0.002822316,0.002450046,0.002002446,0.2967412],"category_scores_gemma":[0.01812266,0.000775231,0.00199039,0.005828212,0.000402235,0.0009709547,0.001618921,0.001859786,0.1186097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290606,"about_ca_system_score_gemma":0.004133059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01902904,"about_ca_topic_score_gemma":0.04466616,"domain_scores_codex":[0.997934,0.0004550873,0.000349089,0.0006977062,0.0003193199,0.0002448684],"domain_scores_gemma":[0.9930011,0.0035862,0.0006155557,0.001312193,0.001017323,0.0004677067],"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":[0.0002358078,0.00002893026,0.003376474,0.001790131,0.0001476846,0.00006825985,0.00004496923,0.0002997658,0.0001589134,0.00104206,0.9884816,0.004325323],"study_design_scores_gemma":[0.0009740074,0.0000297604,0.008920964,0.001104499,0.0002250577,0.0002176473,0.00008166393,0.0002027285,0.0002105573,0.004228515,0.9837653,0.00003938411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000136176,0.00007818504,0.000136996,0.00007816088,0.00001808361,0.0000230725,0.9985631,0.0001352514,0.0008309791],"genre_scores_gemma":[0.001386862,0.0001446011,0.0009593152,0.0003101681,0.00001798357,0.0004439819,0.9941804,0.0002594289,0.002297312],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7032588,"threshold_uncertainty_score":0.9926983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04806196393101378,"score_gpt":0.3108855323587042,"score_spread":0.2628235684276904,"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."}}