{"id":"W2737222607","doi":"10.1177/1354856517700382","title":"Everyday communication management and perceptions of use","year":2017,"lang":"en","type":"article","venue":"Convergence The International Journal of Research into New Media Technologies","topic":"Social Media and Politics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ideology; Social media; Negotiation; Reflexivity; Sociology; Interpersonal communication; Context (archaeology); Perception; Set (abstract data type); Divergence (linguistics); Entertainment; Bridge (graph theory); Everyday life; Public relations; Social psychology; Psychology; Computer science; Political science; Communication; Politics; Social 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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.001586194,0.00005097594,0.0001068655,0.0002477934,0.0006702452,0.0002103026,0.002889417,0.00008527804,0.00006588434],"category_scores_gemma":[0.01152811,0.00003711182,0.00005019027,0.0001066549,0.003315003,0.0004913131,0.0005961712,0.0003837124,0.000007838379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243031,"about_ca_system_score_gemma":0.0002736475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002938935,"about_ca_topic_score_gemma":0.0007931407,"domain_scores_codex":[0.9982132,0.0001669813,0.0002409273,0.00006944356,0.001135067,0.0001743374],"domain_scores_gemma":[0.9969584,0.001269202,0.0002869411,0.0003623423,0.001053902,0.00006920189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009141973,0.00007485496,0.2493446,0.0000207842,0.0002776984,0.00003617811,0.069598,0.000001691601,0.001355713,0.4667824,0.03178998,0.1806266],"study_design_scores_gemma":[0.0004984238,0.00008303436,0.07602869,0.0003562862,0.00003254583,0.00001075555,0.3347065,0.00001792772,0.004701723,0.481708,0.1017367,0.0001193875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283171,0.0008005009,0.0001487352,0.06851164,0.001173454,0.0001408923,0.000003302147,0.00002701946,0.0008773881],"genre_scores_gemma":[0.9704039,0.02689705,0.001982214,0.00002371175,0.0001795175,0.000004726101,4.720054e-7,0.000003540736,0.0005049119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2651084,"threshold_uncertainty_score":0.9993974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553001401071155,"score_gpt":0.4653735653244419,"score_spread":0.3100734252173263,"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."}}