{"id":"W1986626599","doi":"10.2165/1312067-200801040-00013","title":"Using Conjoint Analysis to Model the Preferences of Different Patient Segments for Attributes of Patient-Centered Care","year":2008,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McMaster University; Hamilton Health Sciences","funders":"Health Canada","keywords":"Latent class model; Conjoint analysis; Population; Health care; Class (philosophy); Psychology; Sample (material); Family medicine; Nursing; Medicine; Computer science; Preference; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00006399603,0.0001426971,0.0004332768,0.0001608904,0.0001025701,0.000007056913,0.0001258418,0.00004289511,0.00005922293],"category_scores_gemma":[0.00002683175,0.000120487,0.0002322715,0.0001320592,0.00005541121,0.00006786897,0.0001002303,0.00003669752,0.000006953958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128572,"about_ca_system_score_gemma":0.0000111764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001687091,"about_ca_topic_score_gemma":0.00002590235,"domain_scores_codex":[0.9985964,0.00001765836,0.00084377,0.0002880348,0.00007067322,0.0001835038],"domain_scores_gemma":[0.9989303,0.00003799972,0.0006445275,0.0002834954,0.00004630275,0.00005733568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007265011,0.0004096909,0.7461162,0.00005125024,0.0005242224,1.286793e-7,0.01989997,0.22884,0.0002929709,0.0009637478,0.00007771973,0.002751492],"study_design_scores_gemma":[0.002575114,0.003446374,0.4242744,0.0001140784,0.0005799333,0.000001517142,0.01024344,0.4931934,0.05958044,0.004432624,0.0004727723,0.001085956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988089,0.0003716687,0.009489947,0.0000251503,0.0001199842,0.0006886434,0.001004474,0.000004638381,0.0002065518],"genre_scores_gemma":[0.9979408,0.00005126592,0.00172787,0.00006025854,0.00000638443,0.00008184135,0.0001119982,0.00001135532,0.000008264263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3218418,"threshold_uncertainty_score":0.4913318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2224039249311312,"score_gpt":0.2434720714057883,"score_spread":0.02106814647465716,"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."}}