{"id":"W2255008176","doi":"","title":"Towards understanding digital information discovery and curation","year":2014,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Information seeking; World Wide Web; Variety (cybernetics); Data science; Digital curation; Digital library; Data curation; Task (project management); Knowledge management; Information retrieval; Engineering; Artificial intelligence","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009046997,0.0008163494,0.001168499,0.01201095,0.003750881,0.02038915,0.002642218,0.00548834,0.003645481],"category_scores_gemma":[0.02140077,0.0009279829,0.001340415,0.01069644,0.02134478,0.04495558,0.006705032,0.004306955,0.0008349093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004728248,"about_ca_system_score_gemma":0.006034208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007135516,"about_ca_topic_score_gemma":0.004458864,"domain_scores_codex":[0.9947162,0.002888795,0.0003597027,0.0006592625,0.0009387725,0.0004373008],"domain_scores_gemma":[0.9698471,0.02183841,0.002486871,0.00312345,0.001957404,0.0007468411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007827884,0.00003292653,0.001230444,0.0001990194,0.000009087669,0.0000841049,0.009449543,0.0007244798,0.0001631875,0.9743305,0.0006577636,0.0131112],"study_design_scores_gemma":[0.00001035359,0.0000127439,0.0007120306,0.0002439606,0.0000164594,0.000161284,0.006785767,0.006086819,0.0002486656,0.9385772,0.04712463,0.00002016552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0859694,0.03746353,0.5866185,0.05731065,0.0004237071,0.0004682377,0.0004176974,0.00051799,0.2308102],"genre_scores_gemma":[0.6975008,0.02521906,0.2610681,0.002571699,0.0005034271,0.0006566002,0.0004246277,0.0002126155,0.01184301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9796109,"threshold_uncertainty_score":0.04784566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335092478697681,"score_gpt":0.2072612776891846,"score_spread":0.1939103529022078,"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."}}