{"id":"W3197235732","doi":"","title":"Access to healthcare, medication and daily help for Canadians with vision loss.","year":2021,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CNIB Foundation; Queen's University","funders":"","keywords":"Health care; Optometry; Medicine; Internet privacy; Computer science; Economic growth; Economics","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":[0.0007898359,0.0002776778,0.0003308737,0.001626654,0.004847249,0.001888319,0.001013548,0.0008028743,0.007211525],"category_scores_gemma":[0.004504149,0.0002099587,0.0008334888,0.005590564,0.000517997,0.0009762825,0.001075316,0.001343287,0.0003592916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01960807,"about_ca_system_score_gemma":0.04655403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918818,"about_ca_topic_score_gemma":0.9951763,"domain_scores_codex":[0.9987773,0.00008454777,0.00005995118,0.00006239879,0.0004106202,0.0006050537],"domain_scores_gemma":[0.9975194,0.0002058011,0.0004391898,0.00004411626,0.0008122898,0.00097912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005356558,0.0005868755,0.9216939,0.0005894894,0.0001562286,0.0003280044,0.003873934,0.0001196716,0.0001127861,0.001831086,0.02734409,0.04282814],"study_design_scores_gemma":[0.00008882363,0.0002057489,0.9628631,0.000808812,0.000181569,0.0002480389,0.01805403,0.0002078874,0.00006053844,0.0002496931,0.01699461,0.00003709499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109018,0.01798665,0.00009642543,0.0111988,0.0002235594,0.0001688495,0.01491777,0.00001956623,0.04448649],"genre_scores_gemma":[0.9876195,0.005263467,0.0002097049,0.001468433,0.00005254068,0.00004716755,0.002523175,0.000004433854,0.002811761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01960807,"threshold_uncertainty_score":0.1422672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06598733192925293,"score_gpt":0.4244867939497563,"score_spread":0.3584994620205034,"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."}}