{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007831022,0.0001255717,0.0002625348,0.0002967358,0.0001517797,0.00008362657,0.001277703,0.00004512896,0.00003122759],"category_scores_gemma":[0.0007437264,0.00007695201,0.000149701,0.005389473,0.000167457,0.000519418,0.0003752337,0.0002834499,0.000004045882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005894046,"about_ca_system_score_gemma":0.0003111313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001760152,"about_ca_topic_score_gemma":0.00008005533,"domain_scores_codex":[0.9982901,0.0001501907,0.0004835811,0.000198868,0.000594007,0.0002832037],"domain_scores_gemma":[0.9980803,0.0006779461,0.0002419192,0.000594897,0.000360373,0.00004456873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00647865,0.0009503284,0.3636985,0.0002103661,0.001178718,0.00004808719,0.1253768,0.009309434,0.03685044,0.2358058,0.00009687967,0.2199959],"study_design_scores_gemma":[0.001772783,0.0005745453,0.7468692,0.0001274041,0.0002969937,0.000008982433,0.002369771,0.1961692,0.05100362,0.0002021729,0.0002622785,0.0003430591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931577,0.00004273044,0.005011163,0.0002879031,0.0002104203,0.0002199629,0.000002505009,0.00003182958,0.001035758],"genre_scores_gemma":[0.9996216,0.00004552488,0.0002066029,0.00001662062,0.0000110083,0.000006195253,0.000001506814,0.000003649508,0.00008734552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3831707,"threshold_uncertainty_score":0.3138012,"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."}}