{"id":"W2145841197","doi":"","title":"Selecting versus Describing: A Preliminary Analysis of the Efficacy of Categories in Exploring the Web","year":2001,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Task (project management); Session (web analytics); Directory; Computer science; Information retrieval; Point (geometry); Rating scale; Certainty; Scale (ratio); Process (computing); Psychology; World Wide Web; Mathematics","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":[0.02029542,0.0007963474,0.0009951589,0.002086711,0.00098515,0.002720416,0.001072729,0.001319645,0.0077946],"category_scores_gemma":[0.1350298,0.0006615304,0.001383892,0.0009927006,0.001571931,0.002776963,0.001911685,0.001648753,0.001460176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007884593,"about_ca_system_score_gemma":0.0008801713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001914867,"about_ca_topic_score_gemma":0.002160346,"domain_scores_codex":[0.9873676,0.006303018,0.002022405,0.0009969643,0.002203785,0.00110631],"domain_scores_gemma":[0.6617123,0.2984511,0.01346678,0.007973975,0.01479145,0.003604348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02346682,0.005915126,0.6864419,0.003343509,0.001035884,0.0006009404,0.1064742,0.001759408,0.02143824,0.001403093,0.005490336,0.1426305],"study_design_scores_gemma":[0.0003616194,0.00687166,0.9470105,0.0002611509,0.0006299578,0.0002730175,0.0304024,0.002908299,0.006418208,0.0008036398,0.003891455,0.0001682561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913037,0.0001588207,0.0008631539,0.0001109835,0.00002087005,0.0004468313,0.000474523,0.0000810964,0.00653993],"genre_scores_gemma":[0.9938188,0.0001225275,0.001708228,0.0000733509,0.00003111535,0.00110816,0.0006381111,0.0001051768,0.002394403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02029542,"threshold_uncertainty_score":0.1073337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460100374333013,"score_gpt":0.3010006766775535,"score_spread":0.1549906392442522,"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."}}