{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001012974,0.0004058803,0.0003556647,0.0004640861,0.00413199,0.005170946,0.0005096005,0.001294169,0.02402208],"category_scores_gemma":[0.009528649,0.0002392184,0.0001998758,0.0003168864,0.004310963,0.004465723,0.002186139,0.005508694,0.01063045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532981,"about_ca_system_score_gemma":0.001274616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00446065,"about_ca_topic_score_gemma":0.008720403,"domain_scores_codex":[0.9988893,0.0003131384,0.00003662263,0.0002398517,0.000408473,0.0001126076],"domain_scores_gemma":[0.9985875,0.000359387,0.0001027331,0.0001797443,0.0006052356,0.0001654167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001024691,0.00001619353,0.0003185835,0.00008573069,0.00001478552,0.0002807826,0.004049426,0.00007989911,0.0007322529,0.3109934,0.6481954,0.03513106],"study_design_scores_gemma":[0.000007927204,0.000009593308,0.0002844032,0.00006587976,0.000003257621,0.0002949186,0.001736744,0.0000748458,0.0005101106,0.02181818,0.9751788,0.00001540016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01406099,0.02145826,0.007332745,0.2623175,0.1017751,0.00004618194,0.0005374242,0.0006374801,0.5918344],"genre_scores_gemma":[0.1568411,0.006589138,0.002376167,0.03489118,0.00613423,0.00004850048,0.0001627367,0.0007930244,0.7921639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02402208,"threshold_uncertainty_score":0.08036184,"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."}}