{"id":"W7101217644","doi":"","title":"Author manuscript, published in "Culture and Identity in Knowledge Organization, Montréal: Canada (2008)" Information Filtering as a Knowledge Organization process: techniques and evaluation","year":2010,"lang":"en","type":"article","venue":"","topic":"Information Architecture and Usability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dimension (graph theory); Point (geometry); Identity (music); Knowledge organization; Field (mathematics); Order (exchange); Information system; Knowledge-based systems","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001354098,0.0002374561,0.0002230814,0.0004749021,0.0002289728,0.0007971541,0.0004267544,0.0002006354,0.0001368558],"category_scores_gemma":[0.00183944,0.0002139862,0.00001197659,0.002621434,0.00004671309,0.007720758,0.0002993575,0.0003860646,0.00002109232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563193,"about_ca_system_score_gemma":0.0008535383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.027157,"about_ca_topic_score_gemma":0.7406635,"domain_scores_codex":[0.9981349,0.0001196525,0.0007057234,0.0003410552,0.000419492,0.0002792424],"domain_scores_gemma":[0.9975628,0.00004786537,0.0002154038,0.0004222216,0.001619636,0.0001320616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006499581,0.0007510955,0.252818,0.002231005,0.00006399333,0.000006527937,0.392771,0.000658722,0.006630408,0.06015342,0.04459861,0.2392522],"study_design_scores_gemma":[0.005504285,0.0002049191,0.5784993,0.0004390579,0.00007485873,0.0006147096,0.004229051,0.1010265,0.03007198,0.02814418,0.2480485,0.003142702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902458,0.0001382797,0.08677623,0.001668222,0.000485851,0.001400499,0.00000799372,0.0003652446,0.006699661],"genre_scores_gemma":[0.9878204,0.00001866438,0.0111206,0.0002448093,0.00005517857,0.00005546414,0.0002143719,0.00001425418,0.0004562173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7135065,"threshold_uncertainty_score":0.9793212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009405597027745021,"score_gpt":0.2723103718478499,"score_spread":0.2629047748201049,"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."}}