{"id":"W2805898775","doi":"10.1249/01.mss.0000538190.02670.21","title":"Determining Consistency And Agreement Of Scores Across Two Measurements Of The Visual System","year":2018,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Intraclass correlation; Reliability (semiconductor); Binocular vision; Limits of agreement; Convergence insufficiency; Test (biology); Audiology; Consistency (knowledge bases); Visual acuity; Repeatability; Medicine; Psychology; Optometry; Reproducibility; Mathematics; Statistics; Ophthalmology; Artificial intelligence; Computer science; Nuclear medicine","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":[0.03139594,0.0008422828,0.001132187,0.004881967,0.0006781368,0.001351613,0.000962882,0.0007169744,0.001281838],"category_scores_gemma":[0.04994943,0.0004658359,0.001219567,0.00210886,0.001349641,0.001193915,0.001986674,0.0007168108,0.0005182333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006254656,"about_ca_system_score_gemma":0.0006660641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001425229,"about_ca_topic_score_gemma":0.002644632,"domain_scores_codex":[0.976211,0.007743219,0.004920608,0.00407465,0.00638438,0.0006662285],"domain_scores_gemma":[0.9492936,0.02322775,0.006890566,0.004557684,0.01543669,0.0005938048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001567482,0.0004171958,0.8893555,0.0007728559,0.002442598,0.0001800097,0.005186179,0.001204049,0.01277309,0.0009688679,0.001642557,0.08348954],"study_design_scores_gemma":[0.00009330041,0.00131296,0.9771723,0.0001636558,0.0004012359,0.0006106849,0.002210212,0.006098401,0.007510811,0.001519499,0.002794198,0.0001127969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546777,0.001089507,0.03406655,0.0001177804,0.0002264469,0.001099869,0.0008816463,0.0003735198,0.007466977],"genre_scores_gemma":[0.9720218,0.0002599494,0.02511557,0.00004530825,0.00004454927,0.0007660091,0.000887411,0.00008069954,0.0007787371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03139594,"threshold_uncertainty_score":0.1660396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536051873423302,"score_gpt":0.3446856003995902,"score_spread":0.3093250816653572,"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."}}