{"id":"W4299677621","doi":"10.1016/s1367-0484(18)30356-4","title":"International Editorial Board","year":2018,"lang":"es","type":"article","venue":"Contact Lens and Anterior Eye","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Editorial board; Political science; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005857558,0.00170221,0.001374903,0.004924599,0.002320269,0.01035012,0.001728105,0.005182281,0.2475129],"category_scores_gemma":[0.03415797,0.0005681498,0.0007964939,0.002255386,0.00110216,0.00377906,0.0025198,0.004644826,0.1764974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186609,"about_ca_system_score_gemma":0.004575897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009569628,"about_ca_topic_score_gemma":0.001792187,"domain_scores_codex":[0.995048,0.0007226259,0.0005724985,0.0007072677,0.002407435,0.000542101],"domain_scores_gemma":[0.9674511,0.003523256,0.002877337,0.002035033,0.01885876,0.00525449],"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":[0.00001493044,0.000006474646,0.00003467736,0.0001073362,0.0000027284,0.00003222107,0.000009550691,0.000010727,0.0000643492,0.0005518194,0.9797366,0.01942848],"study_design_scores_gemma":[0.000007479495,0.000005764699,0.0001098779,0.0001175248,0.000004110449,0.0000398883,0.00002137491,0.00002750337,0.00005551468,0.0005854727,0.9990215,0.000003987604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002731179,0.01269759,0.0008400696,0.05989364,0.8500966,0.0001329924,0.0006565365,0.0005316955,0.07487776],"genre_scores_gemma":[0.003982128,0.01217731,0.001036615,0.0296064,0.513323,0.0002408811,0.001138437,0.0006869468,0.4378083],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2475129,"threshold_uncertainty_score":0.8280131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057540839640275,"score_gpt":0.2318027000127398,"score_spread":0.211227291616337,"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."}}