{"id":"W2054792702","doi":"10.1017/s0317167100006053","title":"Possible Anticipation in Hereditary Spastic Paraplegia Type 4 (SPG4)","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Hereditary Neurological Disorders","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hereditary spastic paraplegia; Anticipation (artificial intelligence); Paraplegia; Medicine; Physical medicine and rehabilitation; Spastic; Genetics; Biology; Spinal cord; Computer science; Phenotype; Psychiatry; Artificial intelligence; Gene; Cerebral palsy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002077173,0.001427488,0.0003023418,0.000815138,0.0007963516,0.0002658729,0.0004390634,0.0009966879,0.003603711],"category_scores_gemma":[0.001277549,0.0002667735,0.0003773315,0.0004534175,0.0005477236,0.0003073689,0.0005897979,0.0005711191,0.0003716509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002490359,"about_ca_system_score_gemma":0.0003326804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000962361,"about_ca_topic_score_gemma":0.001214717,"domain_scores_codex":[0.9998272,0.00003835491,0.00001436226,0.00004433385,0.00003774915,0.00003798464],"domain_scores_gemma":[0.9995868,0.0001591493,0.0001402834,0.00001603456,0.00002692643,0.00007085264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0004790605,0.0001597503,0.15931,0.0001227193,0.00009011192,0.781453,0.0009013595,0.0009539534,0.04032004,0.000938274,0.0008635664,0.0144082],"study_design_scores_gemma":[0.00008043348,0.0007520458,0.0992977,0.00005899923,0.0002034401,0.8818403,0.0003078058,0.001502149,0.01136654,0.001310706,0.003234879,0.00004501559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976525,0.0003138296,0.0008051817,0.0001970067,0.0000173443,0.000009078275,0.00006461421,0.00003955449,0.0009008461],"genre_scores_gemma":[0.9982039,0.0001685186,0.0007186566,0.00005826642,0.00004065468,0.000008048434,0.000074983,0.000006913177,0.0007199367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003603711,"threshold_uncertainty_score":0.01205558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083120838453212,"score_gpt":0.3031879233781176,"score_spread":0.2423567149935854,"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."}}