{"id":"W4251643004","doi":"10.15353/cjo.v81i4.1610","title":"Editorial Fra","year":2019,"lang":"da","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Ophthalmology and Visual Impairment Studies","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":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.005091673,0.001320637,0.003649848,0.01433448,0.0009378756,0.0005828471,0.002221487,0.001725039,0.01131554],"category_scores_gemma":[0.002899857,0.001250487,0.001779347,0.005101267,0.00122271,0.001607981,0.00008256934,0.005662556,0.001000351],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004110305,"about_ca_system_score_gemma":0.03182116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00605082,"about_ca_topic_score_gemma":0.0008380294,"domain_scores_codex":[0.9892142,0.0006267481,0.00397514,0.0006812407,0.002200064,0.003302634],"domain_scores_gemma":[0.9761695,0.0009257263,0.003875056,0.0008874104,0.004945743,0.01319655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004224065,0.0001641727,0.7095133,0.0003857694,0.002593341,0.004116283,0.001047358,0.00007241732,0.000102789,0.000007126174,0.2812754,0.0002996986],"study_design_scores_gemma":[0.007961042,0.007699789,0.8414869,0.003332277,0.001718053,0.01150543,0.004238271,0.00002369394,0.0001820392,0.000008624404,0.1206777,0.00116622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7651555,0.01929614,0.00004759985,0.003312658,0.2082739,0.000514196,0.0003714614,0.000007179787,0.003021301],"genre_scores_gemma":[0.9063535,0.0007582717,0.0005231186,0.0009585035,0.08825197,0.000001986628,0.0000180079,0.0001997867,0.002934891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1605977,"threshold_uncertainty_score":0.9999545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585750112566383,"score_gpt":0.3541193067825752,"score_spread":0.3382618056569114,"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."}}