{"id":"W4365999078","doi":"10.1145/3579454","title":"PACMHCI V7, CSCW1, April 2023 Editorial","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[],"category_scores_codex":[0.0005470472,0.0001525062,0.0002974381,0.0002890877,0.0002480845,0.0001608229,0.0009997083,0.00007941778,0.000571399],"category_scores_gemma":[0.0002420563,0.0001376052,0.00020123,0.0003183135,0.00007313814,0.0004193947,0.0007961912,0.0001977654,0.007047614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103136,"about_ca_system_score_gemma":0.000004606883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006348438,"about_ca_topic_score_gemma":0.000001618767,"domain_scores_codex":[0.9987338,0.000002524649,0.000482204,0.0004475971,0.00008330859,0.000250619],"domain_scores_gemma":[0.99896,0.00006104355,0.0004995502,0.0003528892,0.00008891035,0.00003762987],"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":[0.00002211462,0.00004261715,0.001513701,0.00002650824,0.00007489633,1.335364e-7,0.000702325,0.00005055991,0.0002287248,0.02447397,0.972535,0.0003294089],"study_design_scores_gemma":[0.0009194594,0.0001966136,0.01228152,0.0001356757,0.00002307045,0.000002703521,0.0009585142,0.002382242,0.002149805,0.0659876,0.9145231,0.0004396519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5758688,0.00003652547,0.00001283151,0.001899507,0.1927036,0.0003810734,0.0001202827,0.0002071927,0.2287701],"genre_scores_gemma":[0.8908328,0.00006456294,0.0003465937,0.0003041467,0.025496,0.00004942222,0.0000116484,0.0000453459,0.08284942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.314964,"threshold_uncertainty_score":0.9937255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08860676064785278,"score_gpt":0.2793314196383168,"score_spread":0.190724658990464,"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."}}