{"id":"W4213130443","doi":"10.1002/hbe2.4","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Human Behavior and Emerging Technologies","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Citation; Computer science; Emerging technologies; Data science; World Wide Web; Internet privacy; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005543698,0.0003537325,0.0003459383,0.0007228323,0.0001327389,0.00009611039,0.0004141119,0.0007493899,0.0005444349],"category_scores_gemma":[0.000004015524,0.0003605923,0.00005590701,0.0001630085,0.000119173,0.0003284304,0.0003277861,0.0006311145,0.003463536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006647161,"about_ca_system_score_gemma":0.000005720756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001089129,"about_ca_topic_score_gemma":0.000003884159,"domain_scores_codex":[0.9990201,0.000004253937,0.000300592,0.000206483,0.0001332188,0.0003353292],"domain_scores_gemma":[0.9993569,0.000006214516,0.00007760654,0.0005215504,0.00002289949,0.00001480488],"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":[8.96553e-7,0.00001494256,0.0002254526,0.0004740929,0.00005693067,0.0000031884,0.00009318796,0.0001237241,0.0003950903,0.001970694,0.8883072,0.1083346],"study_design_scores_gemma":[0.0002038705,0.00005156922,0.0004336994,0.00009301637,0.00008721722,0.000002781286,0.0009213,0.0000777439,0.001116631,0.000174898,0.996344,0.0004932437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2480938,0.02532969,0.00831589,0.001842982,0.03648722,0.005650334,0.000417516,0.05745359,0.6164089],"genre_scores_gemma":[0.9078851,0.009391172,0.001328629,0.00004719066,0.000124366,0.0009451852,0.001050608,0.0001408693,0.07908692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6597912,"threshold_uncertainty_score":0.9998846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277046805448183,"score_gpt":0.2690918561991039,"score_spread":0.256321388144622,"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."}}