{"id":"W3134530083","doi":"","title":"Impact of cluster sampling on scale psychometrics: simulation study and application to mental health survey","year":2018,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Cluster (spacecraft); Sampling (signal processing); Psychometrics; Mental health; Cluster sampling; Psychology; Applied psychology; Clinical psychology; Computer science; Medicine; Geography; Environmental health; Psychiatry; Cartography; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008632757,0.0001718385,0.0003664461,0.0006117001,0.0001797949,0.00002919228,0.0004390293,0.0001150771,0.000001067868],"category_scores_gemma":[0.00002375569,0.0001958859,0.00008230523,0.0007499444,0.00002228229,0.000179248,0.00009479189,0.0001189488,0.000005249551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559074,"about_ca_system_score_gemma":0.00007372696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004625359,"about_ca_topic_score_gemma":0.1284489,"domain_scores_codex":[0.9986484,0.0002370553,0.0001530174,0.0004703802,0.00032843,0.0001627106],"domain_scores_gemma":[0.9986826,0.000128736,0.0003955732,0.0004484705,0.000226352,0.0001182721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002082678,0.002424584,0.2552128,0.0003880657,0.0004468135,0.000001392042,0.03340112,0.003420953,0.0005167606,0.0004425588,0.004574819,0.6970875],"study_design_scores_gemma":[0.0005006595,0.001269583,0.9775409,0.00006735086,0.00001409911,2.62785e-7,0.001058718,0.01918047,0.00001155611,0.0001412831,0.00005145383,0.0001636944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4650195,0.00001863869,0.534191,0.00005054651,0.00009898648,0.0005036241,0.00002981345,0.00001365566,0.00007421165],"genre_scores_gemma":[0.9083198,0.00002226575,0.09139125,0.00002183955,0.00002516819,4.875105e-7,0.0001184935,0.00001252143,0.00008816894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7223281,"threshold_uncertainty_score":0.8874546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03703284039205517,"score_gpt":0.338345318729654,"score_spread":0.3013124783375988,"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."}}