{"id":"W3024930541","doi":"10.1097/opx.0000000000001509","title":"The CN Lantern Test and Different Viewing Distances","year":2020,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"King Saud University","keywords":"Lantern; Repeatability; Computer vision; Color discrimination; Color vision; Artificial intelligence; Optometry; Computer science; Mathematics; Statistics; 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":[0.0008642343,0.000438347,0.0002243603,0.0005964641,0.0001580377,0.0003075832,0.0004004145,0.0004107567,0.003099902],"category_scores_gemma":[0.005780726,0.0001016931,0.0002251695,0.0002245041,0.0003645829,0.0003664477,0.0005440895,0.0004685303,0.0003659202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002992681,"about_ca_system_score_gemma":0.0002022675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003448684,"about_ca_topic_score_gemma":0.002708896,"domain_scores_codex":[0.9992344,0.00015178,0.00006437307,0.0001910124,0.0002639474,0.00009443361],"domain_scores_gemma":[0.9962136,0.001440305,0.0009576668,0.0003204608,0.0006632091,0.0004047108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00107675,0.000154133,0.9669625,0.00005521951,0.00006503174,0.0006093848,0.0005199654,0.0005817226,0.01559731,0.00005602249,0.0002993429,0.01402266],"study_design_scores_gemma":[0.00001522613,0.001127212,0.990384,0.000007806928,0.0000322362,0.001691925,0.0002403886,0.001109758,0.005117446,0.00003381155,0.0002279127,0.0000123018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985891,0.00004459828,0.0005539883,0.00001056967,0.000005654289,0.000008929972,0.00004462611,0.00002508936,0.0007174695],"genre_scores_gemma":[0.9992113,0.000007813204,0.0004313312,0.000006420565,0.000001993687,0.000005090839,0.000050086,0.000004732612,0.0002810917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003448684,"threshold_uncertainty_score":0.01037014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717250030885376,"score_gpt":0.4318047398076058,"score_spread":0.404632239498752,"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."}}