{"id":"W4212891225","doi":"10.21203/rs.3.rs-1286073/v1","title":"Global Mapping of Optometry Workforce","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Brien Holden Vision Institute","keywords":"Workforce; Optometry; Workforce planning; Business; Medicine; Economics; Economic growth","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":[0.0009123816,0.0002712658,0.0001559033,0.002391865,0.000262712,0.0007807654,0.0004530315,0.000337894,0.008594045],"category_scores_gemma":[0.002368206,0.0001284736,0.0003345869,0.004171544,0.0003302503,0.001159427,0.001741411,0.0003886347,0.001019218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009008,"about_ca_system_score_gemma":0.002550195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660869,"about_ca_topic_score_gemma":0.01087273,"domain_scores_codex":[0.9994649,0.0001358138,0.00003997761,0.0001241886,0.0001062901,0.0001287445],"domain_scores_gemma":[0.9985661,0.0002737048,0.0004250468,0.00008337246,0.000450495,0.0002013785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000120091,0.00006800026,0.7880719,0.001881242,0.0001193059,0.0003956989,0.004799454,0.002785453,0.002105206,0.007089008,0.02602076,0.1665439],"study_design_scores_gemma":[0.00001129952,0.0001376302,0.953366,0.0005390461,0.00002528053,0.0003978625,0.006605123,0.001767255,0.0003173494,0.001625208,0.03518704,0.00002097881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270861,0.006701591,0.002645932,0.0082856,0.0001601748,0.0001397028,0.01733061,0.0001709917,0.03747931],"genre_scores_gemma":[0.9885986,0.003096393,0.001548468,0.0005811086,0.00006084238,0.0001244043,0.003571712,0.0000175711,0.002400824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01660869,"threshold_uncertainty_score":0.03302401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1701722300096257,"score_gpt":0.5450015494105708,"score_spread":0.3748293194009451,"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."}}