{"id":"W2590005803","doi":"","title":"Function, Purpose, Predication, and Context of Information Organization Frameworks","year":2006,"lang":"en","type":"article","venue":"ResearchWorks at the University of Washington (University of Washington)","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Context (archaeology); Function (biology); Resource (disambiguation); Information system; Search engine indexing; Knowledge management; Rubric; Knowledge organization; Information retrieval; Data science; Engineering; Sociology","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":[0.0006148645,0.0001298238,0.000238656,0.0003954563,0.0006688104,0.00005494351,0.0006708781,0.000197897,0.0008914554],"category_scores_gemma":[0.0002386355,0.000141641,0.00008644972,0.001058493,0.0007341743,0.002038461,0.0007415725,0.0003433608,0.0000839773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009913704,"about_ca_system_score_gemma":0.00006341787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004938745,"about_ca_topic_score_gemma":0.002014788,"domain_scores_codex":[0.9988735,0.00005164644,0.0002093308,0.0001993807,0.0004584389,0.0002077493],"domain_scores_gemma":[0.997556,0.0002115258,0.0004845967,0.0003058196,0.001416072,0.00002602792],"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":[0.002579724,0.0008198231,0.3213168,0.002454734,0.0005231287,0.0000179101,0.01568477,0.003523861,0.006156536,0.4087159,0.1231063,0.1151004],"study_design_scores_gemma":[0.003433042,0.0002403063,0.4259042,0.001275385,0.000583748,0.000006850685,0.09116819,0.01732672,0.002744405,0.01079286,0.4456086,0.0009156711],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298307,0.0002631376,0.05447644,0.002800093,0.0001223808,0.0004469821,0.00002372697,0.00007625272,0.01196023],"genre_scores_gemma":[0.9976735,0.0002023529,0.000222699,0.00005867004,0.00006752438,4.043663e-8,0.0001104254,0.000009873736,0.001654937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3979231,"threshold_uncertainty_score":0.9760811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007036910537761348,"score_gpt":0.1769700900610911,"score_spread":0.1699331795233297,"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."}}