{"id":"W3199634123","doi":"10.5210/spir.v2021i0.12116","title":"COLLABORATING AT MICROSCOPIC AND MASSIVE SCALES: THE CHALLENGE AND VALUE OF COVID ISOLATION FOR CRITICAL INTERNET STUDIES","year":2021,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Digital Education and Society","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Isolation (microbiology); The Internet; Sociology; Value (mathematics); Originality; Scale (ratio); Kaleidoscope; Social media; Public relations; Coronavirus disease 2019 (COVID-19); Political science; Data science; Engineering ethics; Computer science; Social science; World Wide Web; Engineering; Geography; Qualitative research","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":[],"consensus_categories":[],"category_scores_codex":[0.0005335285,0.00008189745,0.0001757367,0.0000518315,0.00009988122,0.0001196652,0.0002703947,0.00005543275,0.00001057713],"category_scores_gemma":[0.002948007,0.00006275245,0.00003007011,0.0004577773,0.0005326454,0.000149811,0.0004337434,0.0001439118,8.949808e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007673053,"about_ca_system_score_gemma":0.0002376979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003245253,"about_ca_topic_score_gemma":0.0001140063,"domain_scores_codex":[0.9988094,0.0002142441,0.0002314982,0.0002998139,0.0002327535,0.0002122971],"domain_scores_gemma":[0.9961365,0.001982182,0.00005725781,0.0001902277,0.001573986,0.00005982508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001914902,0.0006527302,0.01171237,0.002928688,0.0008510003,0.000009682366,0.21197,0.0000166134,0.2303035,0.4906072,0.03711294,0.01364374],"study_design_scores_gemma":[0.004925213,0.005661867,0.04121109,0.002428781,0.00008898235,0.0001082435,0.1353106,0.089568,0.6832648,0.01916159,0.01711852,0.001152318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727269,0.008418222,0.003004944,0.01343237,0.0001703666,0.0004513358,0.00001561006,0.00002553455,0.001754717],"genre_scores_gemma":[0.9946367,0.000361752,0.003367229,0.0001105658,0.00001504135,0.00003424274,0.000005523244,0.000005973861,0.001463012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4714456,"threshold_uncertainty_score":0.3529252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05598568067650059,"score_gpt":0.401641739283279,"score_spread":0.3456560586067784,"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."}}