{"id":"W2070595851","doi":"10.1089/gte.2006.10.229","title":"Strategy for Comprehensive Molecular Testing for Duchenne and Becker Muscular Dystrophies","year":2006,"lang":"en","type":"article","venue":"Genetic Testing","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Gene duplication; Exon; Genetics; Duchenne muscular dystrophy; Gene; Multiplex ligation-dependent probe amplification; Genetic testing; Biology; Multiplex polymerase chain reaction; Muscular dystrophy; Coding region; Intron; Copy-number variation; genomic DNA; Polymerase chain reaction; Genome","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":[],"consensus_categories":[],"category_scores_codex":[0.001439284,0.0007094496,0.000572739,0.003517614,0.000414787,0.0006484978,0.000749399,0.0008268101,0.005933139],"category_scores_gemma":[0.003000809,0.0002455504,0.0003861197,0.0004787619,0.0002301371,0.0003586816,0.0008733456,0.0008511498,0.002447597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006002231,"about_ca_system_score_gemma":0.001646722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988675,"about_ca_topic_score_gemma":0.002690232,"domain_scores_codex":[0.9992191,0.0001879821,0.00008388131,0.0001238569,0.0002772668,0.0001079492],"domain_scores_gemma":[0.998818,0.0003034087,0.0001000218,0.00006838983,0.0004354563,0.0002747591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009039858,0.002746239,0.1343173,0.0004684908,0.0001245107,0.0163556,0.0006259572,0.00162138,0.110769,0.003239648,0.06595294,0.662875],"study_design_scores_gemma":[0.001429964,0.009720167,0.4600898,0.001539654,0.0006988329,0.08905184,0.001561275,0.03010085,0.1053276,0.008211981,0.2918688,0.0003993071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.480621,0.01471673,0.3810414,0.03102591,0.002476775,0.01812257,0.002271649,0.00487595,0.06484802],"genre_scores_gemma":[0.5459482,0.006367155,0.3946211,0.01891535,0.001421995,0.006349855,0.003433159,0.0003402732,0.02260288],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005933139,"threshold_uncertainty_score":0.01984829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03524289088913354,"score_gpt":0.2681217509781758,"score_spread":0.2328788600890423,"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."}}