{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004483195,0.00223734,0.001553575,0.003149151,0.002067827,0.007160063,0.003254017,0.006824637,0.2264276],"category_scores_gemma":[0.02141571,0.0006146316,0.001652277,0.001725141,0.001209436,0.005130243,0.002569666,0.006705575,0.1201056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001965947,"about_ca_system_score_gemma":0.003764849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107964,"about_ca_topic_score_gemma":0.00216169,"domain_scores_codex":[0.9961312,0.0004828507,0.0003889703,0.0007242271,0.001815257,0.0004574047],"domain_scores_gemma":[0.9833952,0.00326197,0.0009268016,0.0008356434,0.008354334,0.003226002],"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":[0.00001265191,0.000007098663,0.00002238382,0.0001065665,0.00000247034,0.00001799647,0.000008029422,0.00001699735,0.00003380362,0.0005164688,0.9895495,0.009705986],"study_design_scores_gemma":[0.000007379206,0.00001110607,0.00009697597,0.0001479728,0.000003118518,0.00003333508,0.00001540842,0.0000216,0.00003623329,0.0005311836,0.9990902,0.000005661304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007416234,0.004957272,0.0004066988,0.05461613,0.916058,0.00005354346,0.0005817492,0.0002188079,0.0230336],"genre_scores_gemma":[0.001546205,0.01001718,0.0007992238,0.07517519,0.711893,0.0001494435,0.0008973438,0.0004553184,0.1990671],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2264276,"threshold_uncertainty_score":0.7574759,"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."}}