{"id":"W4404815490","doi":"10.21240/merz/2015.4.6","title":"Do Not Track – Web-Doku-Serie über Internet-Tracking","year":2015,"lang":"de","type":"article","venue":"merz | medien + erziehung","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); The Internet; Tracking (education); Computer science; World Wide Web; Sociology; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01003047,0.001820508,0.001164345,0.005071734,0.00444699,0.01143736,0.00236802,0.005215891,0.07957767],"category_scores_gemma":[0.01663646,0.001417485,0.001198044,0.003932422,0.002016162,0.01772862,0.01085934,0.006433108,0.07012159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00244188,"about_ca_system_score_gemma":0.004040685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005903744,"about_ca_topic_score_gemma":0.00543526,"domain_scores_codex":[0.9931359,0.001618713,0.0005298484,0.001049894,0.002847988,0.000817649],"domain_scores_gemma":[0.9875292,0.002514697,0.0005299798,0.004769437,0.002580057,0.002076668],"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":[0.0004043505,0.0003537908,0.001653058,0.0006628493,0.00007084411,0.001235366,0.002168693,0.001607016,0.005916423,0.1262723,0.5136483,0.3460071],"study_design_scores_gemma":[0.00002037985,0.00004085362,0.0004087952,0.0001736686,0.00001062156,0.0005147534,0.0001515249,0.000983801,0.002667057,0.004436889,0.9905478,0.00004381558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01776973,0.01876531,0.3237595,0.02823314,0.02543419,0.00128647,0.008081347,0.03518557,0.5414848],"genre_scores_gemma":[0.07052333,0.01599588,0.1257508,0.009596767,0.008121533,0.001144531,0.02732239,0.0173707,0.7241741],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07957767,"threshold_uncertainty_score":0.2662138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09366082468670121,"score_gpt":0.3127959707049248,"score_spread":0.2191351460182235,"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."}}