{"id":"W4241454169","doi":"10.15353/cjo.v81i2.1335","title":"Editorial Vol 81 No 2","year":2019,"lang":"es","type":"article","venue":"Canadian Journal of Optometry","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005886101,0.0002457731,0.000646231,0.0009440335,0.00007974659,0.0001526599,0.0003494781,0.000376596,0.00484512],"category_scores_gemma":[0.0007213519,0.0002260525,0.000371163,0.000546159,0.00006811044,0.0002724997,0.00001614184,0.001018021,0.004257568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000453767,"about_ca_system_score_gemma":0.004549264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183692,"about_ca_topic_score_gemma":0.000126674,"domain_scores_codex":[0.9979165,0.00006977579,0.000569006,0.000187251,0.0006242095,0.0006332967],"domain_scores_gemma":[0.9960344,0.00009536435,0.0003574799,0.0003527715,0.001397056,0.001762885],"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":[0.0001070296,0.00002766142,0.7931377,0.0001548366,0.0003533126,0.0003663824,0.0001102943,0.000005639436,0.0008755772,0.00007185029,0.203972,0.0008177094],"study_design_scores_gemma":[0.002229242,0.0008828036,0.1092111,0.0008818037,0.0002612099,0.00005616254,0.0002512348,0.00002111392,0.0003098552,0.000003349776,0.8856443,0.0002478168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7237976,0.004517785,0.00001062644,0.0004661453,0.2642731,0.0001505384,0.00003778043,0.000003940655,0.006742513],"genre_scores_gemma":[0.8387219,0.0001565237,0.00009128435,0.0004213767,0.1571267,3.072417e-7,0.00000440846,0.00004200593,0.003435593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6839265,"threshold_uncertainty_score":0.9965177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00512216062147525,"score_gpt":0.2642013847569096,"score_spread":0.2590792241354344,"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."}}