{"id":"W3198171503","doi":"","title":"10th International Conference on Human Genetics and Genetic Diseases September 21-22|2020 Vancouver, Canada","year":2019,"lang":"en","type":"article","venue":"Human Genetics & Embryology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human genetics; Genetics; Molecular genetics; Medical genetics; Population genetics; Biology; Genealogy; Sociology; Gene; History; Population; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003485777,0.001227223,0.0008635456,0.002179044,0.002561619,0.005269216,0.001815685,0.003290051,0.3205475],"category_scores_gemma":[0.003455454,0.0004034438,0.0007571782,0.001855366,0.001544744,0.001264933,0.002912434,0.00333483,0.1221872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0081154,"about_ca_system_score_gemma":0.0261616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4111315,"about_ca_topic_score_gemma":0.7236724,"domain_scores_codex":[0.99827,0.0001853812,0.00006975177,0.000191389,0.0008377907,0.0004456323],"domain_scores_gemma":[0.99463,0.0002943539,0.00007563346,0.000217415,0.003084136,0.001698454],"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":[0.00003663696,0.00002486387,0.0007686932,0.0001222865,0.000008226795,0.0001227021,0.00006754383,0.00006169755,0.0001927279,0.001437445,0.9166176,0.08053966],"study_design_scores_gemma":[0.000003657295,0.000004595472,0.001022513,0.0001635898,0.00000386126,0.00005415066,0.0001003792,0.00002574501,0.0000340775,0.0002818427,0.9983007,0.000004907668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00234056,0.06244889,0.005075011,0.07415193,0.07444781,0.0005195431,0.008942509,0.001028701,0.7710451],"genre_scores_gemma":[0.003654955,0.01887516,0.001538174,0.00346458,0.002267351,0.00008764245,0.003252836,0.0001847688,0.9666745],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5888685,"threshold_uncertainty_score":0.9691566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354917133566112,"score_gpt":0.2652394669194252,"score_spread":0.251690295583764,"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."}}