{"id":"W1594468099","doi":"10.1212/wnl.82.10_supplement.p2.029","title":"Exploring Genetic Influences On Variation In The Phenotypic Expression Of Parkinson’s Disease. (P2.029)","year":2014,"lang":"en","type":"article","venue":"Neurology","topic":"Nuclear Receptors and Signaling","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenotype; Variation (astronomy); Parkinson's disease; Expression (computer science); Disease; Genetics; Genetic variation; Biology; Medicine; Pathology; Gene; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000169976,0.00007648239,0.00009840103,0.00007707524,0.00006864354,0.00001407963,0.0002520563,0.0000308789,0.00003873747],"category_scores_gemma":[0.0003402115,0.00005354167,0.00002787584,0.0001320676,0.00005418749,0.00008234705,0.00003495206,0.0001527995,0.00002615965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003446083,"about_ca_system_score_gemma":0.000007640597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002144142,"about_ca_topic_score_gemma":0.000003627244,"domain_scores_codex":[0.9987124,0.0005244997,0.0001675655,0.0002580252,0.0001795564,0.0001579709],"domain_scores_gemma":[0.9992166,0.000450109,0.00008219468,0.0002122977,0.000007604673,0.00003119467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005027829,0.0001477776,0.03682333,0.0000216385,7.375062e-7,0.00001444837,0.00174818,0.007969453,0.9418393,0.004052894,0.00003424274,0.006845191],"study_design_scores_gemma":[0.0002786852,0.000503512,0.9591802,0.00001652394,0.000004859975,0.000002384513,0.000007218089,0.002712626,0.02750842,0.002483367,0.00721551,0.00008672522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998661,0.000008774972,0.00009981835,0.0004684048,0.0002803679,0.0001012724,8.505439e-7,0.00001784811,0.0003616459],"genre_scores_gemma":[0.9977248,0.00003351625,0.0000284929,0.002087299,0.00009017796,0.00002359167,2.141984e-7,0.000009519716,0.000002388431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9223568,"threshold_uncertainty_score":0.2183366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06115058318106056,"score_gpt":0.2487878067723345,"score_spread":0.1876372235912739,"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."}}