{"id":"W4205956122","doi":"10.18357/otessac.2021.1.1.47","title":"Uncovering the Politics Behind Adobe Stock","year":2021,"lang":"en","type":"article","venue":"The Open/Technology in Education Society and Scholarship Association Conference","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adobe; Politics; Categorization; Situated; Artificial intelligence; Computer science; Data science; Visual arts; Sociology; Multimedia; World Wide Web; Political science; Art; Law","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008161638,0.0001193913,0.0001444218,0.00002854715,0.0005889896,0.002136739,0.001098217,0.0002099028,0.00001558292],"category_scores_gemma":[0.0007551679,0.00007702236,0.00004781143,0.0006135392,0.00009673776,0.001843292,0.0007141411,0.0005896761,0.00001229889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002497317,"about_ca_system_score_gemma":0.0007746048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001063273,"about_ca_topic_score_gemma":0.0001945663,"domain_scores_codex":[0.9988497,0.0001503466,0.0002279992,0.0002869707,0.0002148094,0.0002702076],"domain_scores_gemma":[0.9985771,0.0002698859,0.0001965047,0.0004675617,0.0004367596,0.00005214384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001408847,0.0001560196,0.03860412,0.00000831075,0.0000466438,0.000001560187,0.009883574,0.00001405525,0.0008395839,0.9271784,0.003580443,0.01968586],"study_design_scores_gemma":[0.0005120418,0.00004156501,0.1388643,0.0001031716,0.00002349128,0.00006301041,0.01029416,0.0006925729,0.004500945,0.7988456,0.04570154,0.00035763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8197877,0.001474363,0.001459979,0.1660176,0.0006448697,0.0004010947,0.000006677504,0.00009316668,0.01011456],"genre_scores_gemma":[0.9878861,0.000336118,0.001333392,0.004430642,0.00004415161,0.00004104803,0.000006188494,0.00000458225,0.005917748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1680984,"threshold_uncertainty_score":0.9988992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1294618995287783,"score_gpt":0.3433527791605059,"score_spread":0.2138908796317276,"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."}}