{"id":"W4388124083","doi":"10.15353/cjo.v84i1.4821","title":"Editorial Eng Vol 84 No 1","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":"Computer science","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":[0.004678265,0.0004600386,0.00148459,0.008995709,0.00126595,0.0005964368,0.002058908,0.0002364513,0.03401976],"category_scores_gemma":[0.00144535,0.0005469988,0.0008564771,0.002638086,0.0004048505,0.001096902,0.0001009213,0.001705275,0.00150816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00322362,"about_ca_system_score_gemma":0.004201516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005347414,"about_ca_topic_score_gemma":0.0005369254,"domain_scores_codex":[0.9950688,0.0001037008,0.002508733,0.000483314,0.0004010785,0.001434409],"domain_scores_gemma":[0.9916735,0.0001895898,0.002792234,0.0004718834,0.001227316,0.003645535],"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":[0.00004216775,0.00002709433,0.3338049,0.00001971755,0.0004144215,0.0002969069,0.0006774717,0.0006022423,0.000003866329,0.0001302561,0.66387,0.000110916],"study_design_scores_gemma":[0.001852687,0.0003626991,0.06410271,0.00006039945,0.00007157277,0.0006326373,0.002397959,0.00008419511,0.00001618887,0.00005637869,0.9297221,0.0006404676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5551782,0.009985931,0.0002302293,0.001240313,0.3775765,0.0002637999,0.003073899,0.000009911197,0.05244116],"genre_scores_gemma":[0.9619813,0.0001566685,0.0006934686,0.0004763815,0.0238493,0.000004299114,0.00001000764,0.00007853725,0.01275005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.406803,"threshold_uncertainty_score":0.9996982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772138193481331,"score_gpt":0.2325279151514147,"score_spread":0.2148065332166013,"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."}}