{"id":"W1590210216","doi":"10.2165/11539650-000000000-00000","title":"Conjoint Analysis Applications in Health – How are Studies being Designed and Reported?","year":2010,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":360,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Calgary","funders":"","keywords":"Conjoint analysis; Respondent; Descriptive statistics; Sample size determination; Data extraction; Popularity; Computer science; Sample (material); Inclusion (mineral); Psychology; Applied psychology; MEDLINE; Statistics; Preference; Mathematics; Social psychology","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":["metaresearch"],"category_scores_codex":[0.3387076,0.001167643,0.003722522,0.005725863,0.002426371,0.01501386,0.003839068,0.005593385,0.01042743],"category_scores_gemma":[0.6739313,0.001395402,0.002251501,0.01439853,0.007108504,0.009835947,0.005557667,0.006094886,0.001890598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003341766,"about_ca_system_score_gemma":0.00847601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034681,"about_ca_topic_score_gemma":0.003571503,"domain_scores_codex":[0.455199,0.5056183,0.01658903,0.003199489,0.01829325,0.001100885],"domain_scores_gemma":[0.2176834,0.6550944,0.0247944,0.04535146,0.0531705,0.003905933],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001638395,0.0005118871,0.03427912,0.007039288,0.001816387,0.0002980437,0.006602452,0.004157323,0.0007859697,0.07807805,0.0356045,0.8291886],"study_design_scores_gemma":[0.001082459,0.002025666,0.06238347,0.0279139,0.002674406,0.002821702,0.01825772,0.03334491,0.005529184,0.677209,0.165939,0.0008185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04949721,0.112487,0.6064041,0.1719849,0.006900812,0.004036252,0.003189225,0.0009037512,0.04459671],"genre_scores_gemma":[0.4130646,0.03483511,0.5234129,0.015053,0.004270496,0.00541123,0.0007071311,0.0003789831,0.002866572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6612924,"threshold_uncertainty_score":0.8154913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1151296845816888,"score_gpt":0.2535190435303806,"score_spread":0.1383893589486918,"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."}}