{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007969704,0.002936692,0.001971851,0.007459136,0.003682776,0.01343718,0.003691247,0.01018941,0.1691554],"category_scores_gemma":[0.03235966,0.001032409,0.001745244,0.00464206,0.001790942,0.006112109,0.002736878,0.01164543,0.143259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004658448,"about_ca_system_score_gemma":0.005999187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006748009,"about_ca_topic_score_gemma":0.01554334,"domain_scores_codex":[0.9946752,0.0006650258,0.0004585311,0.0004796238,0.003262281,0.0004593798],"domain_scores_gemma":[0.9769777,0.003731625,0.0008739977,0.001107721,0.01363751,0.003671385],"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":[0.00001249286,0.000003394525,0.000004425447,0.00005400472,0.000001597897,0.000009912874,0.000002499843,0.00000682324,0.00001283604,0.0001582867,0.9966173,0.003116449],"study_design_scores_gemma":[0.00001826194,0.000007635433,0.00005754748,0.000136078,0.000004337638,0.00001426255,0.00001050067,0.00004408756,0.00003817979,0.0004365722,0.999228,0.000004543335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007577222,0.005262845,0.0004389489,0.05296976,0.895105,0.0002501641,0.001245223,0.0004080666,0.04424431],"genre_scores_gemma":[0.001272711,0.009001656,0.000638796,0.03985285,0.5979793,0.0004096247,0.002524088,0.0006616975,0.3476593],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1691554,"threshold_uncertainty_score":0.5658813,"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."}}