{"id":"W3197918403","doi":"10.3138/seminar.57.3.forum001","title":"We Are All Curators Now","year":2021,"lang":"en","type":"article","venue":"Seminar A Journal of Germanic Studies","topic":"Digital Games and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Digital curation; Data curation; Natural (archaeology); Computer science; Work (physics); Data science; World Wide Web; Sociology; Knowledge management; Engineering; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004117668,0.00008655246,0.0002852403,0.00004580159,0.00009020358,0.00005308188,0.0001574066,0.00003932826,0.00006364474],"category_scores_gemma":[0.0006267512,0.0000690161,0.0001553876,0.0001845031,0.0001727253,0.0002393963,0.00007044211,0.0001363685,0.00003518289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009275168,"about_ca_system_score_gemma":0.0001966164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001460596,"about_ca_topic_score_gemma":0.0002081043,"domain_scores_codex":[0.9989294,0.00007138018,0.0002683855,0.0000893027,0.0004087175,0.0002327446],"domain_scores_gemma":[0.9988652,0.0001928019,0.0002806384,0.00007938484,0.0004536067,0.0001283665],"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":[0.0000481392,0.0003108217,0.004808827,0.0001317529,0.0013057,0.003018011,0.234441,0.000003635407,0.0007674822,0.004607823,0.5930321,0.1575247],"study_design_scores_gemma":[0.0001534607,0.00005028841,0.0005000107,0.0002579248,0.00005571798,0.00005364968,0.1064334,2.521917e-7,0.0003399187,0.0005920583,0.8914832,0.00008013608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4776571,0.2903336,0.00001659228,0.04581293,0.005606737,0.0001455486,0.00001188879,0.00004363816,0.180372],"genre_scores_gemma":[0.7712179,0.1302884,0.0002548333,0.001054479,0.001860661,0.000002577028,6.251122e-7,0.00001886161,0.0953016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2984512,"threshold_uncertainty_score":0.2814395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05657694175884995,"score_gpt":0.3665163672279199,"score_spread":0.3099394254690699,"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."}}