{"id":"W4235313233","doi":"10.1145/3331041.3331042","title":"Editor's introduction","year":2019,"lang":"en","type":"article","venue":"ACM SIGecom Exchanges","topic":"Economic and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Realm; Computer science; Engineering ethics; Sociology; Management science; Data science; Library science; Operations research; Political science; Engineering; Law","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004486389,0.00006834925,0.0001294912,0.00004068605,0.0002357512,0.00005871529,0.000306074,0.0001067951,0.004875326],"category_scores_gemma":[0.0002700668,0.00007232592,0.00004384526,0.00008990063,0.00009413399,0.0002498185,0.00006539754,0.00008161984,0.002727025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008539423,"about_ca_system_score_gemma":0.00004054496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470256,"about_ca_topic_score_gemma":0.001247244,"domain_scores_codex":[0.9992588,0.00009122713,0.00009271094,0.0001908145,0.0001283887,0.0002380275],"domain_scores_gemma":[0.9994388,0.0001387813,0.0000532926,0.0002589845,0.00004549622,0.00006469489],"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":[0.00001073943,0.00004310112,0.02801306,0.00001475074,0.00003106166,8.127397e-7,0.05488474,0.000001716151,0.0002636103,0.07551862,0.8217981,0.01941971],"study_design_scores_gemma":[0.00007638461,0.00002330647,0.001248473,0.000002973436,0.000004124709,7.181074e-8,0.008847181,0.00000140251,0.0001269736,0.005778896,0.9837886,0.0001016225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.682919,0.0008065318,0.000008607555,0.05932211,0.04002072,0.0004329515,0.000004798371,0.000302505,0.2161827],"genre_scores_gemma":[0.8702995,0.0005077373,0.0002048922,0.0003344912,0.06943167,0.00001482852,0.000007706615,0.00001353196,0.05918569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1873804,"threshold_uncertainty_score":0.9980494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787494164186949,"score_gpt":0.2962889224333959,"score_spread":0.2784139807915264,"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."}}