{"id":"W4255219456","doi":"10.15353/cjo.v83i1.3599","title":"Editorial Eng Vol 83 No 1","year":2021,"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":[0.003073814,0.000478171,0.001624159,0.006035311,0.0006098828,0.0008743717,0.001380658,0.0004161076,0.01990035],"category_scores_gemma":[0.002914938,0.0005506768,0.0009102165,0.002524393,0.0004166506,0.001300968,0.00005696948,0.001270785,0.002702388],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913853,"about_ca_system_score_gemma":0.005824114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002949781,"about_ca_topic_score_gemma":0.001153635,"domain_scores_codex":[0.9951198,0.00007923288,0.002559632,0.0005136055,0.0003070079,0.0014207],"domain_scores_gemma":[0.9900897,0.0002083036,0.002309614,0.0005163134,0.002659073,0.004216991],"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":[0.00002354434,0.00002557501,0.3663414,0.00003298898,0.0005244626,0.000663016,0.0004721091,0.000137406,0.000009351234,0.0001462095,0.6314786,0.000145406],"study_design_scores_gemma":[0.001995029,0.000177724,0.1029783,0.0002018448,0.00009614455,0.0008754735,0.00167501,0.00005148987,0.0001224851,0.0000673471,0.8910484,0.0007107955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5385203,0.0171232,0.0004457803,0.001504255,0.3626205,0.0001806545,0.00181452,0.000009354058,0.07778135],"genre_scores_gemma":[0.9480156,0.0004651707,0.001620269,0.000479614,0.03259344,0.000001457601,0.00001048953,0.00007685388,0.01673715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4094952,"threshold_uncertainty_score":0.9998119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857363531449127,"score_gpt":0.2384870943759003,"score_spread":0.219913459061409,"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."}}