{"id":"W4385932709","doi":"10.32920/23979066","title":"It's Alive! Using Linked Open Data to promote discovery within artist-run centre collections","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"World Wide Web; Computer science; Data 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":[],"consensus_categories":[],"category_scores_codex":[0.01548447,0.0004514107,0.0005788589,0.008522924,0.00494558,0.01916686,0.00266579,0.001723691,0.00642436],"category_scores_gemma":[0.04465098,0.0007111012,0.0009317784,0.01278136,0.004769843,0.02463505,0.01127202,0.002691214,0.002840968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003150106,"about_ca_system_score_gemma":0.004657886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007751483,"about_ca_topic_score_gemma":0.01361804,"domain_scores_codex":[0.9866289,0.006604922,0.0008872565,0.001207643,0.004116738,0.0005544727],"domain_scores_gemma":[0.9623947,0.01866032,0.001858589,0.01250972,0.002665799,0.001910945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001860699,0.0003934733,0.008650532,0.0007005896,0.0001239162,0.0004992798,0.02800405,0.005476541,0.006686909,0.4367016,0.05655697,0.45602],"study_design_scores_gemma":[0.00006627844,0.0001097229,0.005861561,0.0007477981,0.00007474313,0.0003644501,0.01650698,0.03155008,0.02082365,0.2929349,0.6307331,0.0002268404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06084825,0.001794475,0.7761126,0.02124488,0.0005490437,0.001453584,0.005314766,0.01238051,0.1203018],"genre_scores_gemma":[0.273153,0.0017418,0.6863962,0.001157973,0.0003458977,0.001043275,0.006318193,0.002601524,0.02724211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01916686,"threshold_uncertainty_score":0.08189064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4321107997365149,"score_gpt":0.4534365012840724,"score_spread":0.02132570154755753,"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."}}