{"id":"W3037999728","doi":"10.1002/meet.14504901269","title":"Information curation","year":2012,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bookmarking; World Wide Web; Computer science; Identity (music); Data curation; 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":[0.04412401,0.001896889,0.001752435,0.01772232,0.008640517,0.01940562,0.005415975,0.003924316,0.1157236],"category_scores_gemma":[0.2092657,0.00109991,0.002554056,0.0146897,0.005528179,0.01698488,0.0180752,0.006047084,0.06964508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006397013,"about_ca_system_score_gemma":0.01782243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005949743,"about_ca_topic_score_gemma":0.005404011,"domain_scores_codex":[0.9074565,0.03685147,0.008969621,0.00876336,0.03511352,0.002845501],"domain_scores_gemma":[0.7041641,0.07802864,0.01141932,0.1156423,0.08599065,0.004755025],"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":[0.0001251689,0.00009931222,0.001364968,0.002658436,0.00007180209,0.0003502411,0.01063408,0.0004171365,0.002575028,0.1593237,0.5354996,0.2868806],"study_design_scores_gemma":[0.00001045418,0.00001169666,0.0002632844,0.000676,0.00001594498,0.0001293204,0.0007480993,0.0002950361,0.0009580663,0.01210736,0.9847589,0.00002589331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007480982,0.00655078,0.2524668,0.05210135,0.01349587,0.006679313,0.01505959,0.01812711,0.6280382],"genre_scores_gemma":[0.1378509,0.01094053,0.2791898,0.02619035,0.007183488,0.008493667,0.02736432,0.01496494,0.487822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1157236,"threshold_uncertainty_score":0.3871341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009416937024244412,"score_gpt":0.2478858665876561,"score_spread":0.2384689295634117,"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."}}