{"id":"W4238120755","doi":"10.12688/f1000research.19587.1","title":"One-year test-retest reliability of ten vision tests in Canadian athletes","year":2019,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McMaster University; McGill University; Impact","funders":"Mitacs","keywords":"Intraclass correlation; Concussion; Medicine; Vergence (optics); Athletes; Reliability (semiconductor); Physical therapy; Poison control; Injury prevention; Clinical psychology; Artificial intelligence; Psychometrics","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":[0.004645526,0.0004774368,0.0003907452,0.001592169,0.001285608,0.0006192588,0.001010704,0.000467247,0.0008360255],"category_scores_gemma":[0.01054396,0.0003206481,0.000512081,0.0009981138,0.0009146752,0.0003415105,0.0007034376,0.0004698864,0.0002521177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006583154,"about_ca_system_score_gemma":0.004877746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7800965,"about_ca_topic_score_gemma":0.8580537,"domain_scores_codex":[0.9976362,0.0002802942,0.0001856244,0.0004023388,0.001097588,0.0003979758],"domain_scores_gemma":[0.9922334,0.00122435,0.0008308666,0.0002578644,0.004991363,0.0004622657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002954371,0.0000678543,0.974884,0.00006302474,0.0001475256,0.00009512169,0.002026229,0.0002505449,0.001354444,0.00005254371,0.0007004809,0.02006288],"study_design_scores_gemma":[0.000003326638,0.00007553586,0.9988562,0.00000892863,0.00002632505,0.00004045993,0.000251092,0.000195966,0.0002558845,0.00000638546,0.0002723081,0.000007531708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978586,0.0003358623,0.0002242791,0.0000475516,0.00001606593,0.00003583506,0.0003200439,0.00001703576,0.001144717],"genre_scores_gemma":[0.9978386,0.0001620693,0.0005758856,0.00003381464,0.000008239911,0.00002361338,0.0005655204,0.000006593909,0.0007856986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2199035,"threshold_uncertainty_score":0.442397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08171667319925492,"score_gpt":0.4011465278164061,"score_spread":0.3194298546171512,"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."}}