{"id":"W4387860595","doi":"10.1002/pra2.801","title":"“Our Metadata, Ourselves”: The Trans Metadata Collective","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Copyright and Intellectual Property","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Metadata; Controlled vocabulary; Identification (biology); Subject (documents); Transparency (behavior); Agency (philosophy); Computer science; Representation (politics); World Wide Web; Public relations; Internet privacy; Sociology; Political science; Law; Social science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.06988888,0.0004722056,0.0004416523,0.005035855,0.01436246,0.02340346,0.002182072,0.004097387,0.005916075],"category_scores_gemma":[0.05236423,0.0005448493,0.0007961626,0.005164939,0.0250308,0.01996443,0.02546574,0.00770181,0.001214295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01039045,"about_ca_system_score_gemma":0.02783642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627987,"about_ca_topic_score_gemma":0.01545576,"domain_scores_codex":[0.9464754,0.02774636,0.003032737,0.003354162,0.01688822,0.002503074],"domain_scores_gemma":[0.935237,0.02290471,0.00487284,0.0169418,0.01479571,0.00524803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002945982,0.00004250289,0.004084007,0.0001459442,0.00001592189,0.0002629618,0.09827352,0.0001803494,0.001097874,0.7522243,0.0743873,0.06925597],"study_design_scores_gemma":[0.000006173083,0.00004242146,0.001450617,0.0004160067,0.00001347328,0.0002845342,0.06726766,0.000332605,0.001536842,0.03791555,0.8906863,0.00004793558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.125371,0.00737904,0.1124445,0.333329,0.008595736,0.0006916112,0.0007126924,0.001431329,0.4100451],"genre_scores_gemma":[0.7720398,0.003077653,0.04788198,0.03260209,0.002815072,0.0007409719,0.0009874449,0.001432252,0.1384228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9765965,"threshold_uncertainty_score":0.3696122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757935186748521,"score_gpt":0.2451738257564494,"score_spread":0.2175944738889642,"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."}}