{"id":"W6902531377","doi":"10.6084/m9.figshare.6885464","title":"Additional file 1: of Clinical exome sequencing in France and Quebec: what are the challenges? What does the future hold?","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exome sequencing; DNA sequencing; Data collection; MEDLINE; Exome; Identification (biology)","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":[0.003240103,0.0009410689,0.001290124,0.003846894,0.001667462,0.00207727,0.001925521,0.001045334,0.7510583],"category_scores_gemma":[0.04139386,0.0004912409,0.001107422,0.006413714,0.0004743874,0.001268663,0.001090534,0.001089844,0.05357599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00471503,"about_ca_system_score_gemma":0.01239768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5184283,"about_ca_topic_score_gemma":0.6245864,"domain_scores_codex":[0.9990127,0.000176034,0.0001556426,0.0002269408,0.000239684,0.0001888529],"domain_scores_gemma":[0.9686,0.01921241,0.001252172,0.001791296,0.007953269,0.001190885],"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":[0.0001880654,0.00002606307,0.005773479,0.001418515,0.00007400423,0.00006385138,0.00007854896,0.0003764392,0.00005464166,0.0005133692,0.9831703,0.00826274],"study_design_scores_gemma":[0.003702068,0.0001599653,0.143083,0.007795089,0.0004763752,0.0005797101,0.001217671,0.002381567,0.0006969876,0.006417467,0.8331868,0.0003033149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002441034,0.00002252395,0.0001749714,0.0001851033,0.00002247485,0.00006456344,0.9985059,0.000110577,0.0006697171],"genre_scores_gemma":[0.01632156,0.0002880491,0.005463155,0.001118573,0.0001147069,0.002016868,0.9579847,0.0005282949,0.016164],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7510583,"threshold_uncertainty_score":0.9688155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074083754520047,"score_gpt":0.2717484356997162,"score_spread":0.2410075981545157,"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."}}