{"id":"W2521339394","doi":"10.1017/alj.2016.24","title":"Making Booxs: iSchool Students De/Construct the Book","year":2016,"lang":"en","type":"article","venue":"Art Libraries Journal","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Construct (python library); Object (grammar); Library science; Connection (principal bundle); Visual arts; Sociology; Media studies; Art; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007848653,0.00007573477,0.00007553134,0.00004102281,0.001706571,0.00158768,0.0007701063,0.00004717127,0.002647821],"category_scores_gemma":[0.0002162225,0.00003898595,0.00006557194,0.0001544726,0.0006252038,0.008583043,0.00007769186,0.0001484426,0.0002270736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003412778,"about_ca_system_score_gemma":0.0007749884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003897217,"about_ca_topic_score_gemma":0.00001588528,"domain_scores_codex":[0.9985476,0.0002347108,0.0001992268,0.0001146795,0.0005390259,0.0003647422],"domain_scores_gemma":[0.9993635,0.0001968339,0.0001297301,0.0001219845,0.00002643162,0.0001615025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003319549,0.00003618051,0.378462,0.000001843155,0.00003672172,0.0000476168,0.01276332,0.000001014298,0.0004046796,0.2771304,0.313866,0.0172171],"study_design_scores_gemma":[0.000187551,0.00004172934,0.01694335,0.00004952261,0.000006481109,0.00005388138,0.004055674,0.000001705611,0.0002415981,0.04614643,0.9321755,0.00009653885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4363679,0.001209321,0.004726193,0.2234493,0.002722321,0.0004275226,0.000009498302,0.0002179986,0.3308699],"genre_scores_gemma":[0.9656085,0.000298718,0.0006219083,0.005461314,0.001219817,0.00000320229,2.883792e-7,0.000007212843,0.02677903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6183095,"threshold_uncertainty_score":0.9995931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04115750075918032,"score_gpt":0.3333877311935577,"score_spread":0.2922302304343773,"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."}}