{"id":"W3194216587","doi":"10.1177/13548565211034621","title":"In the mood for disconnection","year":2021,"lang":"en","type":"article","venue":"Convergence The International Journal of Research into New Media Technologies","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Toronto","funders":"","keywords":"Disconnection; Commodification; Ambiguity; Perspective (graphical); Psychology; Computer science; Power (physics); Mood; Internet privacy; Social psychology; Artificial intelligence; Political science; Economics","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"],"consensus_categories":[],"category_scores_codex":[0.005147486,0.00006693835,0.0001160412,0.0002746019,0.0002566855,0.0001418178,0.002304628,0.0001068589,0.0001101178],"category_scores_gemma":[0.02303379,0.0000389769,0.00009975121,0.0005789234,0.0007166854,0.0003014735,0.0001670865,0.0006145135,0.00001266762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001907906,"about_ca_system_score_gemma":0.00149004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004044701,"about_ca_topic_score_gemma":0.004072409,"domain_scores_codex":[0.9974129,0.0002721424,0.0002992999,0.0001290581,0.001583865,0.0003027286],"domain_scores_gemma":[0.9955865,0.002809054,0.0001361831,0.0001957755,0.001218797,0.00005365338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002818147,0.00025067,0.005084758,0.00002493785,0.0002026035,0.000325619,0.2738775,0.00002553928,0.01033456,0.3405645,0.208444,0.1605835],"study_design_scores_gemma":[0.0003851949,0.00007036108,0.0004195018,0.00005641702,0.000006584115,0.00004363724,0.4760506,0.00001632381,0.02191014,0.3168469,0.1841358,0.00005864303],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.317269,0.003328168,0.002408198,0.6658482,0.008328063,0.0004378392,0.000005367942,0.000057391,0.002317835],"genre_scores_gemma":[0.9913384,0.006070707,0.0006494498,0.0002157532,0.0009974751,0.00002823034,0.000001306435,0.000004888699,0.0006938124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6740694,"threshold_uncertainty_score":0.9851956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1523165623680338,"score_gpt":0.4584047054965227,"score_spread":0.306088143128489,"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."}}