{"id":"W4388124133","doi":"10.15353/cjo.v84i3.5110","title":"Editorial Eng Vol 84 No 3","year":2022,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004676784,0.0004599932,0.001484697,0.00899362,0.001265873,0.0005972958,0.002058001,0.0002364372,0.03344983],"category_scores_gemma":[0.001445078,0.000546901,0.0008564387,0.002637401,0.0004048707,0.001097493,0.0001008701,0.001705031,0.001519696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003232561,"about_ca_system_score_gemma":0.004203139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005389706,"about_ca_topic_score_gemma":0.0005394816,"domain_scores_codex":[0.9950682,0.0001036308,0.002509517,0.0004831667,0.0004011362,0.001434333],"domain_scores_gemma":[0.9916676,0.0001884076,0.002792494,0.0004713788,0.001234872,0.003645255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004247685,0.00002716941,0.3351003,0.00002001503,0.0004154672,0.0003003445,0.0006796014,0.0006042482,0.000003885149,0.000130087,0.662564,0.0001124074],"study_design_scores_gemma":[0.001866291,0.0003615025,0.06369857,0.0000601696,0.00007095568,0.0006270317,0.002384442,0.00008409377,0.00001639653,0.00005636323,0.9301351,0.0006390311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5548171,0.009982424,0.0002302324,0.001231334,0.3779946,0.0002627544,0.003028226,0.000009863198,0.05244344],"genre_scores_gemma":[0.961664,0.0001580801,0.0006870569,0.0004756415,0.02401311,0.00000423843,0.000009877462,0.0000784541,0.01290955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4068469,"threshold_uncertainty_score":0.9996982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741031566185245,"score_gpt":0.232192719209392,"score_spread":0.2147824035475395,"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."}}