{"id":"W4244819401","doi":"10.1111/bioe.12765","title":"Issue Information","year":2021,"lang":"en","type":"paratext","venue":"Bioethics","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Internet privacy; Library 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":[0.0003638477,0.0001029411,0.0001584809,0.00005565316,0.0009747404,0.000200656,0.000133049,0.0006639343,0.006588579],"category_scores_gemma":[0.0002562115,0.00009478212,0.00009238762,0.0002764383,0.0006069228,0.0002063394,0.00007348618,0.0004455923,0.01422525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072781,"about_ca_system_score_gemma":0.0009850912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007202033,"about_ca_topic_score_gemma":0.003877134,"domain_scores_codex":[0.9989543,0.0001298584,0.0001848728,0.0001038034,0.0004274145,0.000199768],"domain_scores_gemma":[0.999142,0.0001019814,0.000118156,0.0001523315,0.0004194526,0.00006609278],"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":[7.856855e-7,0.000005150011,0.000001060127,0.0000446016,0.00001950932,7.058184e-7,0.01327297,0.00000707169,1.831325e-7,0.03361002,0.951047,0.001990907],"study_design_scores_gemma":[0.00004063977,0.000006694582,0.000007784571,0.0000458614,0.00001567723,2.453797e-7,0.01043437,0.00000215559,0.000005184306,0.00007726871,0.9892336,0.0001305217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006147007,0.002720518,0.0001315149,0.02810195,0.01063572,0.0001538865,0.0001261114,0.00002886769,0.9580953],"genre_scores_gemma":[0.001060033,0.01212393,0.0003391189,0.001788376,0.004225287,0.00001666852,0.0007326677,0.00001077807,0.9797031],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03818657,"threshold_uncertainty_score":0.9994091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06576361792692191,"score_gpt":0.3901705400731668,"score_spread":0.3244069221462448,"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."}}