{"id":"W1166691909","doi":"","title":"Dynamic Measures of Accommodation Through Plus Lens Addition","year":2005,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Accommodation; Optometry; Lens (geology); Ophthalmology; Optics; Medicine; Physics","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":[0.0002386163,0.0004422579,0.0003347493,0.001240359,0.0005484495,0.0007848847,0.0003562407,0.0004522152,0.005508399],"category_scores_gemma":[0.001535007,0.00020594,0.0003290767,0.001487969,0.0004687298,0.001017559,0.0007404697,0.0008401033,0.0004433298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006028098,"about_ca_system_score_gemma":0.0006095283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005568528,"about_ca_topic_score_gemma":0.004068955,"domain_scores_codex":[0.9996033,0.00003758477,0.00004302258,0.00007750071,0.0001735204,0.0000650407],"domain_scores_gemma":[0.9992474,0.0001584366,0.000178141,0.00008392017,0.0002199448,0.0001122055],"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":[0.007809487,0.0006389603,0.0262612,0.0006244453,0.0002087021,0.0002119602,0.0007366744,0.001839126,0.8812547,0.002126331,0.0008390313,0.07744937],"study_design_scores_gemma":[0.0001295315,0.004141484,0.6527694,0.00006542401,0.0002376327,0.001255809,0.0006705925,0.004383631,0.3302965,0.001216991,0.004713682,0.0001192088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785863,0.0006801683,0.008644228,0.00004295379,0.00004762557,0.0001568017,0.001802711,0.0001179936,0.009921239],"genre_scores_gemma":[0.9903336,0.0003839097,0.003017013,0.00005454327,0.00002163678,0.0001392312,0.0009295202,0.00004597825,0.005074597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005568528,"threshold_uncertainty_score":0.01842743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079941535207577,"score_gpt":0.3523080306705253,"score_spread":0.2443138771497675,"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."}}