{"id":"W96126339","doi":"10.1007/978-3-642-13428-9_1","title":"Tagging and Fuzzy Sets","year":2010,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Process (computing); Resource (disambiguation); Web resource; Fuzzy logic; Simple (philosophy); World Wide Web; Software; Information retrieval; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002774364,0.0002892119,0.0003982435,0.0002315793,0.0001479117,0.00007519258,0.0006275723,0.0001689656,0.00001221454],"category_scores_gemma":[0.0001556717,0.0002689906,0.00005847111,0.00006686529,0.0005566971,0.0001631458,0.0008098952,0.0005032775,0.00006475904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000539713,"about_ca_system_score_gemma":0.00007524109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008596224,"about_ca_topic_score_gemma":0.00007256234,"domain_scores_codex":[0.998432,0.00001619205,0.0004108876,0.0005874063,0.0003267354,0.0002267271],"domain_scores_gemma":[0.9982264,0.001059025,0.0001647361,0.0002885589,0.0002161061,0.00004514289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002239277,0.00000716034,0.00003678628,0.00005704217,0.00005616117,0.00008358568,0.001171797,0.001372756,0.000001003119,0.9461012,0.0003149748,0.05079524],"study_design_scores_gemma":[0.00004284185,0.00003713101,0.0001553432,0.0002573875,0.000007820695,0.00007002845,0.0001151064,0.008555804,0.00002486904,0.9814588,0.008955896,0.0003188999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002862214,0.02876486,0.5490516,0.006104859,0.005394138,0.0006873472,0.00001838063,0.0004540472,0.4092385],"genre_scores_gemma":[0.2482314,0.009774926,0.6858852,0.003900997,0.0005879909,0.00006537955,0.00002674072,0.00009235108,0.05143509],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3578034,"threshold_uncertainty_score":0.9999762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058820927625887,"score_gpt":0.3623302551801597,"score_spread":0.256448162417571,"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."}}