{"id":"W4244663171","doi":"10.15353/cjo.77.505","title":"Éditorial","year":2015,"lang":"fr","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":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.01578213,0.002391607,0.004766645,0.03825409,0.001273511,0.003086633,0.006698865,0.002582388,0.007496982],"category_scores_gemma":[0.01117915,0.002656799,0.002741912,0.01789709,0.003251275,0.006077493,0.0001236604,0.008546385,0.003112208],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02494982,"about_ca_system_score_gemma":0.1415554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04394818,"about_ca_topic_score_gemma":0.02386506,"domain_scores_codex":[0.9775004,0.002231394,0.007577603,0.001061764,0.005003802,0.006625085],"domain_scores_gemma":[0.9168712,0.0009967093,0.008549578,0.001545478,0.0160017,0.05603536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003478758,0.0001400245,0.5146594,0.0001765018,0.00206192,0.02142117,0.001902448,0.001960067,0.00008810433,0.00004661207,0.4555554,0.001640447],"study_design_scores_gemma":[0.01195918,0.002911843,0.25673,0.003704869,0.0024142,0.05938236,0.006112386,0.000148858,0.0006337829,0.00006301515,0.6529128,0.003026697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7420021,0.101475,0.0006070835,0.01101852,0.13481,0.0005793013,0.002841452,0.00002216702,0.00664438],"genre_scores_gemma":[0.9398825,0.000542548,0.006842113,0.000851499,0.04591246,0.000003452715,0.00003684395,0.0008862411,0.005042315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2579294,"threshold_uncertainty_score":0.9994613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774789122278845,"score_gpt":0.32824696284069,"score_spread":0.3004990716179016,"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."}}