{"id":"W4240490806","doi":"10.15353/cjo.v81i2.1341","title":"Éditorial Vol 81 No 2","year":2019,"lang":"fr","type":"article","venue":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00494585,0.004238324,0.003188325,0.004954211,0.003704243,0.00878096,0.003227441,0.01704527,0.1164285],"category_scores_gemma":[0.02353595,0.001614809,0.003553252,0.00181082,0.002171886,0.003201572,0.002591253,0.01396846,0.06860568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004602747,"about_ca_system_score_gemma":0.003580791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004524122,"about_ca_topic_score_gemma":0.01214905,"domain_scores_codex":[0.9959189,0.000479172,0.0003247114,0.0005513627,0.002105721,0.0006201621],"domain_scores_gemma":[0.9873523,0.002874249,0.0009929824,0.0007528005,0.005270568,0.002757205],"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":[0.00003867935,0.0000110606,0.0000233873,0.00007112858,0.000008388427,0.00006936045,0.000003263242,0.00001054911,0.00003383419,0.0001196529,0.996417,0.003193669],"study_design_scores_gemma":[0.00007199546,0.00001571675,0.0003087883,0.0001948094,0.00002442042,0.00009741218,0.00001723433,0.00004687761,0.00004453024,0.0003722403,0.9987949,0.00001100088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005666023,0.003112144,0.00004936246,0.02819551,0.9580534,0.00003981373,0.000108118,0.00008994114,0.01029512],"genre_scores_gemma":[0.0006958618,0.00346672,0.00009222615,0.04366218,0.8826313,0.00006929912,0.0001536565,0.0000605169,0.0691683],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1164285,"threshold_uncertainty_score":0.3894923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438934196357571,"score_gpt":0.2160278849703077,"score_spread":0.201638543006732,"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."}}