{"id":"W4400954098","doi":"10.3233/shti240300","title":"Interpretive Description in Computerized Ontology Development: Rigour","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rigour; Ontology; Computer science; Quality (philosophy); Data science; Management science; Engineering ethics; Epistemology; Engineering; Philosophy","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3013321,0.001754771,0.002688882,0.008287882,0.005326667,0.02251636,0.006843963,0.00500685,0.005707639],"category_scores_gemma":[0.3650418,0.001850651,0.001784161,0.004117779,0.03744963,0.03512086,0.01964559,0.008585854,0.001132259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008347138,"about_ca_system_score_gemma":0.01221315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006332891,"about_ca_topic_score_gemma":0.003846143,"domain_scores_codex":[0.6484248,0.2999068,0.01065266,0.006495827,0.0328136,0.00170638],"domain_scores_gemma":[0.4325638,0.4475438,0.008080575,0.0892305,0.02083833,0.001742907],"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":[0.0002200013,0.000217003,0.001945611,0.001603544,0.0001607065,0.0002616907,0.02492925,0.004243807,0.0009510781,0.828788,0.002537839,0.1341414],"study_design_scores_gemma":[0.0001779657,0.0001787448,0.0006273727,0.002672756,0.000074854,0.0003052181,0.006844585,0.02278781,0.003175595,0.9052552,0.05777075,0.0001292123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01177007,0.003697961,0.9425401,0.01768072,0.0004286767,0.001125387,0.0001541619,0.0004284624,0.02217442],"genre_scores_gemma":[0.3569188,0.003541465,0.6258835,0.002263522,0.0005087476,0.003479281,0.0004201451,0.0005909497,0.00639367],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3013321,"threshold_uncertainty_score":0.861582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05306375424077708,"score_gpt":0.3513131389315993,"score_spread":0.2982493846908222,"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."}}