{"id":"W4235664304","doi":"10.15353/cjo.v82i3.1938","title":"Editorial Eng Vol 82 No 3","year":2020,"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":[0.002451988,0.000494661,0.00163947,0.004983332,0.0005325088,0.0007294109,0.001759262,0.0003805751,0.01401852],"category_scores_gemma":[0.003258339,0.0005528788,0.0008395513,0.00234518,0.0004434428,0.00133517,0.00005287721,0.001335675,0.003757207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381779,"about_ca_system_score_gemma":0.003361627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002803161,"about_ca_topic_score_gemma":0.0003743745,"domain_scores_codex":[0.9952405,0.00006049239,0.002549152,0.0004992768,0.0003016912,0.001348858],"domain_scores_gemma":[0.9888849,0.0001631922,0.003043822,0.0003620129,0.001556861,0.005989225],"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":[0.00004389787,0.0000143716,0.3457933,0.00003717484,0.0004313871,0.0002571819,0.001036343,0.0001904141,0.000006401436,0.00008258669,0.6519641,0.0001428661],"study_design_scores_gemma":[0.002065173,0.0003620472,0.06292654,0.0001288795,0.00008607947,0.0002408022,0.001271303,0.0001382233,0.00004694831,0.00003018164,0.9320011,0.0007027991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5974432,0.01211669,0.001116616,0.004789486,0.3204466,0.0003449702,0.002454966,0.0000167843,0.06127072],"genre_scores_gemma":[0.9531285,0.0002501059,0.001130203,0.001030396,0.04058931,0.000001342035,0.000006134468,0.00007645033,0.0037876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3556853,"threshold_uncertainty_score":0.9996923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383173959045302,"score_gpt":0.2346888234637438,"score_spread":0.2108570838732908,"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."}}