{"id":"W4411222073","doi":"10.3389/fmed.2025.1575195","title":"From data to medical context: the power of categorization in healthcare","year":2025,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"","keywords":"Categorization; CLARITY; Bridging (networking); Health care; Context (archaeology); Computer science; Consistency (knowledge bases); Data science; Domain (mathematical analysis); Knowledge management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01327409,0.0008470216,0.0009868499,0.005627047,0.002117589,0.006313937,0.002345945,0.002301682,0.001745747],"category_scores_gemma":[0.04183487,0.0005877132,0.001449176,0.004674872,0.00808519,0.01503002,0.005922753,0.002602424,0.0002932316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002775386,"about_ca_system_score_gemma":0.002983535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00640231,"about_ca_topic_score_gemma":0.005286823,"domain_scores_codex":[0.9817325,0.01302015,0.001032286,0.001882521,0.001867791,0.0004646067],"domain_scores_gemma":[0.9653122,0.02889035,0.001508376,0.002119761,0.001417236,0.0007519217],"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":[0.0002515386,0.0001416565,0.02697426,0.001020911,0.000213947,0.0006002249,0.01568538,0.02446119,0.001400809,0.680136,0.003818167,0.2452959],"study_design_scores_gemma":[0.00002968005,0.00008751147,0.005158661,0.0006160605,0.00008702295,0.0004715268,0.006320552,0.07959642,0.0005422455,0.8901549,0.01685348,0.00008190899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06410363,0.005868709,0.8974139,0.01645813,0.0003014599,0.0005469296,0.0004691617,0.0003060318,0.01453196],"genre_scores_gemma":[0.6939269,0.001674774,0.3008671,0.001427528,0.0002156184,0.0004967384,0.0004852254,0.00006211232,0.0008439621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01327409,"threshold_uncertainty_score":0.07020092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03834922510096108,"score_gpt":0.3643913155308051,"score_spread":0.3260420904298441,"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."}}