{"id":"W4236187518","doi":"10.15353/cjo.80.276","title":"Éditorial","year":2018,"lang":"fr","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.005040411,0.0009514523,0.001741812,0.007860119,0.002031121,0.001480074,0.002968604,0.001323526,0.01019597],"category_scores_gemma":[0.003614084,0.0009723398,0.001277168,0.005281411,0.006066609,0.002867678,0.00004230539,0.002546282,0.000472617],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01524334,"about_ca_system_score_gemma":0.06611419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09773965,"about_ca_topic_score_gemma":0.1019061,"domain_scores_codex":[0.9892778,0.001165308,0.003385535,0.0005509361,0.00225349,0.003366968],"domain_scores_gemma":[0.9712248,0.0005826876,0.003484056,0.0006214362,0.008895147,0.01519188],"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":[0.00005017744,0.00006065721,0.6138355,0.00008294351,0.000893693,0.001422371,0.01850306,0.00009621521,0.00005247154,0.0003600603,0.3632044,0.001438446],"study_design_scores_gemma":[0.001712544,0.0006080805,0.3145673,0.0007215914,0.000508356,0.002372924,0.01229648,0.00003986889,0.0003005932,0.00001999015,0.6659233,0.0009290111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8609955,0.01441424,0.0003417266,0.0261433,0.08942886,0.0003345229,0.0005526523,0.00001038793,0.007778764],"genre_scores_gemma":[0.9259274,0.0005278314,0.002387609,0.003354114,0.05396464,0.000001250103,0.00001077724,0.0001438373,0.01368251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3027188,"threshold_uncertainty_score":0.9999729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06987266758599692,"score_gpt":0.4160858570177055,"score_spread":0.3462131894317086,"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."}}