{"id":"W4414159753","doi":"10.1002/mdc3.70358","title":"Enhancing Reliability of Automated Remote Parkinson's Assessments: Real‐World Video Quality Challenges","year":2025,"lang":"en","type":"letter","venue":"Movement Disorders Clinical Practice","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Rubric; Reliability (semiconductor); Task (project management); Video quality; Quality (philosophy); Subjective video quality; Scalability; Inter-rater reliability","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02664769,0.0008586604,0.0008602184,0.002077909,0.000852888,0.002716574,0.001869651,0.001183474,0.002015121],"category_scores_gemma":[0.1214649,0.0003596012,0.0002644937,0.00118167,0.001053491,0.001920163,0.002090382,0.0009902164,0.0007920404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295785,"about_ca_system_score_gemma":0.001348855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105076,"about_ca_topic_score_gemma":0.01500622,"domain_scores_codex":[0.9822975,0.007864815,0.001552337,0.001915033,0.005776284,0.0005939383],"domain_scores_gemma":[0.8834113,0.06266569,0.00776869,0.006813068,0.03808805,0.001253131],"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":[0.002467461,0.0004617688,0.2869803,0.003489998,0.000482099,0.001726735,0.007779459,0.009726987,0.04319692,0.002353088,0.02370871,0.6176264],"study_design_scores_gemma":[0.0004403991,0.002155605,0.6677578,0.003008451,0.0007877224,0.008400637,0.008067699,0.1527096,0.07443911,0.01450788,0.06719528,0.0005297652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6989908,0.01091675,0.2641014,0.005475362,0.001011365,0.001541189,0.003857268,0.002086087,0.01201983],"genre_scores_gemma":[0.9218488,0.001740944,0.07184971,0.0008048911,0.0003810367,0.0005690283,0.001572957,0.0003718513,0.0008607645],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02664769,"threshold_uncertainty_score":0.1409281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08177871968667118,"score_gpt":0.4621839053315217,"score_spread":0.3804051856448505,"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."}}