{"id":"W2289016317","doi":"10.29173/iq84","title":"Changing Boundaries: Gazeteers, Information Retrieval and Data Browsing","year":2000,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Information retrieval; Computer science; World Wide Web","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":[0.00516841,0.0003625915,0.0006531277,0.003325853,0.003656913,0.01128677,0.001238974,0.004394193,0.01788551],"category_scores_gemma":[0.04329725,0.0005951007,0.0005501335,0.004198578,0.01083368,0.03362549,0.005941374,0.003614758,0.001598791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476545,"about_ca_system_score_gemma":0.001934106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021907,"about_ca_topic_score_gemma":0.009370353,"domain_scores_codex":[0.9951768,0.00271591,0.0001860411,0.0005362708,0.0009460283,0.0004389562],"domain_scores_gemma":[0.9670469,0.02267245,0.00364214,0.002423564,0.002115386,0.002099517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00100533,0.0003948201,0.02996392,0.0004123051,0.00007481112,0.000588705,0.1403766,0.001679276,0.004364285,0.6427418,0.02799118,0.1504071],"study_design_scores_gemma":[0.0003477042,0.0002888864,0.04394176,0.00048166,0.0001171364,0.001303721,0.0569897,0.007807465,0.002044653,0.797653,0.08877686,0.0002475241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4503399,0.02406913,0.06147179,0.03988192,0.0002823492,0.0001245461,0.0004664862,0.0008179342,0.4225459],"genre_scores_gemma":[0.9837196,0.001911218,0.006015783,0.000885399,0.0001549498,0.0000577243,0.0001287432,0.000159278,0.006967345],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02021907,"threshold_uncertainty_score":0.05983299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117781749097218,"score_gpt":0.2684302109080153,"score_spread":0.2472523934170432,"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."}}