{"id":"W4407685367","doi":"10.1145/3641555.3705238","title":"Reducing Isolation through Peer-Modeled Posts","year":2025,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Universitas Brawijaya; University of Toronto","keywords":"Isolation (microbiology); Computer science; Peer-to-peer; Distributed computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001457772,0.0006874481,0.0002787136,0.0004337713,0.0008756425,0.001104038,0.0009596486,0.0005585795,0.005250487],"category_scores_gemma":[0.01200633,0.0002290618,0.0003351056,0.0002541225,0.0003857283,0.00185136,0.001794323,0.0006804989,0.001287487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556035,"about_ca_system_score_gemma":0.000698259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005417562,"about_ca_topic_score_gemma":0.001562173,"domain_scores_codex":[0.9987098,0.000684445,0.00005674781,0.000164287,0.0002397119,0.0001450364],"domain_scores_gemma":[0.9894218,0.005765084,0.00120765,0.001590116,0.0008350335,0.001180233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002838801,0.009983659,0.06467363,0.00140295,0.0001502392,0.001175876,0.01688263,0.008019475,0.1298436,0.005544745,0.01077054,0.7487139],"study_design_scores_gemma":[0.001419755,0.04499363,0.2882343,0.001255239,0.00154166,0.00348058,0.02544828,0.2005607,0.2026545,0.02656561,0.2031331,0.0007126736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503596,0.0001499796,0.03674644,0.0004949197,0.0001544863,0.0004456468,0.0001137424,0.001857202,0.009677894],"genre_scores_gemma":[0.9750931,0.0000980709,0.02038584,0.0001273259,0.0000779165,0.0002535753,0.0001175458,0.0001259322,0.003720675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005250487,"threshold_uncertainty_score":0.01756459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326375600442341,"score_gpt":0.3043727245464115,"score_spread":0.2911089685419881,"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."}}