{"id":"W4317862994","doi":"10.46747/cfp.69016","title":"An inside perspective of Parkinson disease","year":2023,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Disease; Parkinson's disease; IMG; Medicine; Data science; Computer science; Gerontology; Artificial intelligence; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0008576934,0.0006707675,0.0006390538,0.0007447241,0.005057661,0.002354304,0.0008706531,0.01374534,0.03708641],"category_scores_gemma":[0.005792651,0.0003010994,0.0007224975,0.0005315679,0.00197088,0.002980673,0.001083769,0.01715177,0.01411274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005249182,"about_ca_system_score_gemma":0.0062221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09021857,"about_ca_topic_score_gemma":0.1750996,"domain_scores_codex":[0.9990028,0.0001870823,0.00005672533,0.0001064307,0.0004627915,0.0001842205],"domain_scores_gemma":[0.9972311,0.0006512968,0.00009551866,0.00007306466,0.001008166,0.0009409112],"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":[0.000004125895,0.000002771332,0.0000709023,0.00001448439,0.000001055136,0.0004004996,0.00003038163,0.00000579234,0.00001682523,0.0005224858,0.9950534,0.003877225],"study_design_scores_gemma":[0.00000935421,0.000009360769,0.0003870363,0.0002300688,0.000004658318,0.002243483,0.0002098555,0.00002633206,0.0000193199,0.0014047,0.9954455,0.00001029228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001645305,0.01127086,0.00006391035,0.9133093,0.04978076,0.000007894211,0.00005946836,0.0000521828,0.02529111],"genre_scores_gemma":[0.004038301,0.01042433,0.0001399804,0.8516031,0.09369786,0.00001138449,0.00005063474,0.00003863448,0.03999573],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09021857,"threshold_uncertainty_score":0.1793869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429169967837252,"score_gpt":0.2632212140932162,"score_spread":0.2389295144148437,"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."}}