{"id":"W4250942823","doi":"10.1002/jca.21727","title":"Issue Information","year":2020,"lang":"en","type":"paratext","venue":"Journal of Clinical Apheresis","topic":"Retinal and Optic Conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Citation; Information retrieval; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005462856,0.0001782322,0.001275035,0.0001204327,0.00003644503,0.00004197139,0.0001892086,0.0004416729,0.03283449],"category_scores_gemma":[0.002241631,0.0001222865,0.001023015,0.00018702,0.00008446464,0.0002054488,0.00004453871,0.001482904,0.02408754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002581445,"about_ca_system_score_gemma":0.0007059795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005800008,"about_ca_topic_score_gemma":8.006132e-7,"domain_scores_codex":[0.9965058,0.0001002788,0.002592214,0.0001021167,0.0005573102,0.0001422739],"domain_scores_gemma":[0.996273,0.0005710563,0.001863678,0.0001794222,0.0006526491,0.0004601459],"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":[0.0005738819,0.0001040005,0.0002259323,0.0002538276,0.0003413202,0.0000616114,0.00003607148,0.000003818545,0.000003531526,0.00001515142,0.9603687,0.03801217],"study_design_scores_gemma":[0.001350763,0.00129241,0.005552198,0.0006485666,0.0005782675,0.0001439977,0.00009636991,0.00001901244,0.00002032846,0.00008771199,0.9900956,0.0001147983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008700822,0.002464978,0.001409079,0.05813278,0.01520119,0.0004789988,0.0001595677,0.00002152957,0.913431],"genre_scores_gemma":[0.03200983,0.02679946,0.02189981,0.04072157,0.05850713,0.00001390387,0.0006253127,0.0001297674,0.8192932],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09413784,"threshold_uncertainty_score":0.9766724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05725703526773496,"score_gpt":0.4157846186083679,"score_spread":0.3585275833406329,"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."}}