{"id":"W6902344829","doi":"10.6084/m9.figshare.26596313.v1","title":"Additional file 1 of Laboratory performance of genome-wide cfDNA for copy number variants as compared to prenatal microarray","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Table (database); Copy-number variation; Microarray; Microarray analysis techniques; Microarray databases; Genetic variants","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":[0.002531631,0.0009315574,0.0009330675,0.001982684,0.0007673436,0.001480368,0.001671027,0.0009008384,0.833509],"category_scores_gemma":[0.03730549,0.0005482934,0.0007674599,0.003215205,0.000229189,0.001465185,0.0009161792,0.0008784098,0.1397024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421618,"about_ca_system_score_gemma":0.001716042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008153691,"about_ca_topic_score_gemma":0.008509356,"domain_scores_codex":[0.998594,0.0002682758,0.000248988,0.0003364666,0.0003959245,0.0001563455],"domain_scores_gemma":[0.9607463,0.03051506,0.00195934,0.001980252,0.004207231,0.0005917292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005659391,0.0001290583,0.006304149,0.001445492,0.00005987262,0.00007976581,0.00006434779,0.0008122525,0.0001959289,0.0006405523,0.9735606,0.0161422],"study_design_scores_gemma":[0.00416922,0.0006380063,0.08814102,0.003093566,0.0003081356,0.001071626,0.0005733137,0.004697318,0.003624322,0.01188678,0.8815414,0.0002552718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004245086,0.00001597013,0.0005467085,0.00009089954,0.00002263903,0.00007175872,0.9973923,0.0004292701,0.001005875],"genre_scores_gemma":[0.01699785,0.0001117493,0.004722041,0.0006378763,0.000121317,0.001491115,0.9633985,0.001718763,0.01080078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.833509,"threshold_uncertainty_score":0.2374792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009432245134073204,"score_gpt":0.2243403956515589,"score_spread":0.2149081505174857,"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."}}