{"id":"W4241386785","doi":"10.1386/jcs.4.2.238_1","title":"Curating Massive Media","year":2015,"lang":"en","type":"article","venue":"Journal of Curatorial Studies","topic":"Art, Politics, and Modernism","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Exhibition; Spectacle; Digital media; Invocation; Space (punctuation); Architecture; Public space; New media; Identity (music); Media studies; Publics; Sociology; Visual arts; Public art; Aesthetics; Art; Political science; World Wide Web; Computer science; Architectural engineering; Engineering; Law; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003683787,0.0001194518,0.0003382105,0.00005864965,0.0002209089,0.00008662594,0.0001200892,0.00002813769,0.00004605459],"category_scores_gemma":[0.001183495,0.00008189064,0.0001015165,0.000002510714,0.0002522752,0.000407546,0.00005012629,0.000167657,0.00002464641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008592374,"about_ca_system_score_gemma":0.0001437474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003650767,"about_ca_topic_score_gemma":0.0006497273,"domain_scores_codex":[0.9988417,0.00005498104,0.0004608376,0.00006803666,0.0003817086,0.0001927468],"domain_scores_gemma":[0.997964,0.0001897328,0.0004156231,0.00006771736,0.001221005,0.0001419361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007478274,0.00004675899,0.0001585034,0.00001747871,0.0003418577,0.00005460331,0.6137587,0.00001567486,0.00002221738,0.1139889,0.2708054,0.0007151777],"study_design_scores_gemma":[0.0008778814,0.0002235091,0.0000151144,0.00005989036,0.00009001169,0.00001034499,0.07696255,0.000007640712,0.0001282494,0.04614717,0.8753402,0.0001373905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3335958,0.0520081,0.0004321148,0.01461893,0.2689325,0.0005722189,0.000153342,0.000212093,0.3294749],"genre_scores_gemma":[0.9543635,0.0002388061,0.0001547944,0.0002446171,0.04364586,0.000001881068,8.263742e-7,0.00001507572,0.00133469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6207677,"threshold_uncertainty_score":0.3339403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2568015737024533,"score_gpt":0.3482125589823186,"score_spread":0.0914109852798653,"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."}}