{"id":"W2951282126","doi":"10.18037/ausbd.579205","title":"Nüfuzumu Kullanırken Ben: Türkiye’deki Moda Instabloggerlarının Ürün Yerleştirme Uygulamaları Üzerine bir İçerik Analizi","year":2019,"lang":"tr","type":"article","venue":"Anadolu Üniversitesi Sosyal Bilimler Dergisi","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Humanities; Physics; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001884985,0.0006283826,0.0004777942,0.001418211,0.004367436,0.007561573,0.0007235649,0.001667493,0.0317276],"category_scores_gemma":[0.006429893,0.0003241267,0.0005252581,0.00208007,0.002463153,0.005310009,0.002934197,0.002241799,0.005808573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004073823,"about_ca_system_score_gemma":0.004172522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124421,"about_ca_topic_score_gemma":0.03466465,"domain_scores_codex":[0.9978911,0.0005733098,0.000104725,0.0002598685,0.0007545835,0.0004165225],"domain_scores_gemma":[0.9970584,0.0008866299,0.0004619914,0.0002094562,0.001095816,0.0002877823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008471124,0.0004112687,0.1456763,0.003234191,0.0002093364,0.006138511,0.202823,0.001681625,0.008072202,0.1270586,0.1148196,0.3890283],"study_design_scores_gemma":[0.00003299343,0.0001828863,0.1324623,0.001908675,0.0001123357,0.00147378,0.2771021,0.001312501,0.003339381,0.01541125,0.566491,0.0001706862],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5131029,0.01108359,0.009059316,0.01995255,0.001163993,0.000315177,0.001373672,0.0003135361,0.4436352],"genre_scores_gemma":[0.8917134,0.004891421,0.004674585,0.002037891,0.0002349777,0.0001911693,0.0009244207,0.0001540325,0.09517819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0317276,"threshold_uncertainty_score":0.1061394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007497630337603482,"score_gpt":0.2247608397038449,"score_spread":0.2172632093662414,"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."}}