{"id":"W4391024699","doi":"10.15353/cjo.v48i3.4504","title":"Letters","year":2021,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"","field":"","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","bibliometrics","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004644252,0.001175134,0.002502479,0.02115465,0.0009757492,0.001530183,0.00326733,0.0006797501,0.007511005],"category_scores_gemma":[0.003571799,0.001242675,0.00187069,0.01264345,0.001031819,0.002526452,0.00006672004,0.003858743,0.0007929204],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006184775,"about_ca_system_score_gemma":0.03751706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005628806,"about_ca_topic_score_gemma":0.01178982,"domain_scores_codex":[0.9886587,0.0008455729,0.003976454,0.0007078514,0.002357131,0.003454264],"domain_scores_gemma":[0.9707908,0.0005714395,0.003759406,0.001129183,0.006003966,0.01774519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007681533,0.00006497656,0.8302178,0.000094606,0.001352427,0.03403426,0.0007644391,0.001069553,0.004231207,0.00001925514,0.1271948,0.0008798629],"study_design_scores_gemma":[0.004214331,0.0003937431,0.8399914,0.001240043,0.0007614061,0.05393327,0.002600965,0.00004757753,0.005654658,0.00001184779,0.08950273,0.001648043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667489,0.01384959,0.000906787,0.007019463,0.006861748,0.0002280182,0.0007442199,0.00001957725,0.003621687],"genre_scores_gemma":[0.986557,0.0001734828,0.006788115,0.002753429,0.002552824,0.000002145329,0.00002836786,0.0004356889,0.0007089408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03769208,"threshold_uncertainty_score":0.9999851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377477294172451,"score_gpt":0.2957852339495171,"score_spread":0.2820104610077926,"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."}}