{"id":"W4298091277","doi":"","title":"Trickster Fiddles with Informatics: The Social Impact of Technological Marketing Schemes","year":2015,"lang":"en","type":"article","venue":"","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Trickster; Informatics; Computer science; Marketing; Business; Sociology; Engineering; Electrical engineering; Anthropology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.007898068,0.0004818842,0.0005382703,0.003044302,0.01015055,0.01812182,0.001398499,0.005815908,0.01422657],"category_scores_gemma":[0.02569959,0.0003288767,0.0004430252,0.003877068,0.03999896,0.02390286,0.009192969,0.004536257,0.0006336744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00583308,"about_ca_system_score_gemma":0.002250133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002048662,"about_ca_topic_score_gemma":0.002567648,"domain_scores_codex":[0.9892586,0.007948353,0.0001401107,0.0006229407,0.001485288,0.0005446653],"domain_scores_gemma":[0.962088,0.03143699,0.002298375,0.002021061,0.001004503,0.001151115],"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":[0.00001834299,0.00002611858,0.0008268441,0.00003424025,0.000006110183,0.0001575664,0.0120251,0.0001463316,0.0000634165,0.9741172,0.004006942,0.008571739],"study_design_scores_gemma":[0.00002118641,0.00004624414,0.002362735,0.0002770587,0.00001504308,0.0002520712,0.01954935,0.001252865,0.0002243262,0.8598282,0.1161377,0.00003327345],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1156427,0.0104556,0.01574393,0.2510208,0.001174159,0.0001026745,0.000120989,0.00008807456,0.6056511],"genre_scores_gemma":[0.975697,0.003946283,0.001804093,0.005298717,0.001279892,0.00008518591,0.00002036907,0.00005019326,0.01181825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9898494,"threshold_uncertainty_score":0.0475927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03962403856990283,"score_gpt":0.3412046789630967,"score_spread":0.3015806403931939,"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."}}