{"id":"W4408693557","doi":"10.1007/978-3-662-70810-1_6","title":"Pattern Discovery and Validation Using Scientific Research Methods","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Information retrieval; Data science; Data mining","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":[0.04938838,0.001716894,0.002442328,0.01245604,0.00207694,0.009283968,0.005518556,0.002571163,0.008237765],"category_scores_gemma":[0.1351708,0.001292154,0.005131185,0.007929381,0.00326849,0.009005458,0.005041744,0.002616422,0.004228333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926935,"about_ca_system_score_gemma":0.007479724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002275473,"about_ca_topic_score_gemma":0.002556377,"domain_scores_codex":[0.9480967,0.02363743,0.005681959,0.006289484,0.01559904,0.000695359],"domain_scores_gemma":[0.8095533,0.1307649,0.006185606,0.03262077,0.0200583,0.000817154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003718628,0.0004306442,0.01120682,0.002447722,0.001035011,0.0004282822,0.001118911,0.01667561,0.007161029,0.1418478,0.01000579,0.8072705],"study_design_scores_gemma":[0.0001917356,0.0002258053,0.003577191,0.001312656,0.0008034761,0.0009373958,0.0008668379,0.4044558,0.0329561,0.4945332,0.05999531,0.0001445535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004779435,0.0006230073,0.9874862,0.0006110015,0.00009559658,0.0004994121,0.0006142335,0.001771117,0.003519894],"genre_scores_gemma":[0.04474607,0.0006729927,0.9473457,0.0001849009,0.00007809912,0.0006862136,0.002637635,0.0004408329,0.003207545],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04938838,"threshold_uncertainty_score":0.2611938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077442021971209,"score_gpt":0.4042888129454019,"score_spread":0.2965446107482809,"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."}}