{"id":"W2314289324","doi":"10.1300/j123v51n02_07","title":"Automatic Categorization","year":2006,"lang":"en","type":"article","venue":"The Serials Librarian","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Categorization; Metadata; Computer science; Information retrieval; Presentation (obstetrics); Process (computing); World Wide Web; Automation; Software; Data science; Artificial intelligence; Engineering","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":[0.0002087191,0.00007766197,0.0001046801,0.00003213955,0.0001357513,0.0003596109,0.0008064212,0.00003820262,0.00006647652],"category_scores_gemma":[0.000031877,0.0000479413,0.00002953471,0.0002267833,0.00003397331,0.0006806293,0.0001381836,0.00003347608,0.0001306465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006291714,"about_ca_system_score_gemma":0.00004947879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001673029,"about_ca_topic_score_gemma":0.00001514813,"domain_scores_codex":[0.999299,0.0001067695,0.0001706645,0.000144872,0.0001153601,0.0001633672],"domain_scores_gemma":[0.999323,0.00009815651,0.00007112879,0.0004775086,0.00001204922,0.00001822291],"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":[0.000001252708,0.00001708501,0.0001756904,0.000005583619,0.000005387121,0.000003582919,0.0002302887,0.00007191409,0.003065729,0.9824966,0.005125663,0.008801213],"study_design_scores_gemma":[0.0005052636,0.00006498962,0.08867294,0.00001830333,0.00001890678,0.00003483152,0.00009153962,0.06156635,0.05318687,0.7821279,0.01335768,0.0003543973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3916653,0.0004316754,0.4963211,0.03588065,0.003995158,0.0006571359,0.000002909786,0.002613741,0.06843237],"genre_scores_gemma":[0.9885126,0.000002742145,0.01021377,0.0003750573,0.0003372708,0.000008356566,0.000004239812,0.000006109778,0.0005398598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5968473,"threshold_uncertainty_score":0.3467736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00858137680342916,"score_gpt":0.1915270089664773,"score_spread":0.1829456321630481,"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."}}