{"id":"W3193782802","doi":"10.33137/incite.4.37161","title":"reversed, mirrored, selfie","year":2021,"lang":"de","type":"article","venue":"in cite journal","topic":"Interdisciplinary Cultural and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selfie; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008788504,0.000190816,0.0003706205,0.0000618488,0.001793589,0.0003739359,0.000296508,0.00022056,0.001994346],"category_scores_gemma":[0.0002864584,0.0001647348,0.0003217004,0.0006851031,0.0002990583,0.0003391354,0.000208537,0.0008873912,0.0005086252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005328475,"about_ca_system_score_gemma":0.0003932227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003362807,"about_ca_topic_score_gemma":0.004412995,"domain_scores_codex":[0.9974499,0.0005431265,0.0005232957,0.0002516989,0.0006186067,0.0006133823],"domain_scores_gemma":[0.9989461,0.0001277138,0.0002143558,0.00009819376,0.0004071381,0.0002064756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002163678,0.0008664237,0.04181156,0.0001033669,0.0009112062,0.01189864,0.6305305,0.00003642865,0.0009406038,0.01235909,0.2744086,0.02591729],"study_design_scores_gemma":[0.0008341589,0.00008076945,0.017561,0.0004078116,0.0001009736,0.0000993626,0.1303362,0.00001341635,0.00005150155,0.01672742,0.8333694,0.0004179406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6486769,0.04431451,0.00002246154,0.0806646,0.02343996,0.0002479253,0.00003809136,0.00004587644,0.2025496],"genre_scores_gemma":[0.8861787,0.02928961,0.0005807378,0.001428789,0.01019425,0.000005602511,0.000007562473,0.00002571972,0.07228906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5589609,"threshold_uncertainty_score":0.9995059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971771377543471,"score_gpt":0.3406773890173678,"score_spread":0.3009596752419331,"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."}}