{"id":"W6996681271","doi":"","title":"Statistical models for multilevel data with “Don’t know” category: implication for program evaluation","year":2023,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Missing data; Random effects model; Longitudinal data; Outcome (game theory); Social connectedness; Mental health; Multilevel model; Statistical model","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3602473,0.002291475,0.006085999,0.003747458,0.002328862,0.006216044,0.009562448,0.005168572,0.01437281],"category_scores_gemma":[0.645037,0.00202792,0.009636933,0.006585194,0.006514304,0.01014471,0.006035859,0.01152821,0.0009465655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006847256,"about_ca_system_score_gemma":0.01596713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591857,"about_ca_topic_score_gemma":0.01462648,"domain_scores_codex":[0.5904445,0.3884512,0.004214709,0.006511721,0.008959092,0.001418747],"domain_scores_gemma":[0.1595919,0.793772,0.0131636,0.01896264,0.01280607,0.00170379],"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":[0.001699459,0.001690715,0.04817628,0.005344385,0.008526114,0.0005259528,0.004848533,0.1216835,0.0003838129,0.4978556,0.03013205,0.2791335],"study_design_scores_gemma":[0.0007013977,0.001337639,0.008344433,0.002427279,0.001239334,0.0000968606,0.001395517,0.5187588,0.0005185727,0.4489276,0.01602264,0.0002300371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0126523,0.0017127,0.9645436,0.01248045,0.001040704,0.003025329,0.0009367208,0.0008596153,0.002748449],"genre_scores_gemma":[0.1367739,0.000963555,0.8437874,0.002811877,0.000544871,0.0129773,0.0007134174,0.000313427,0.001114206],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3602473,"threshold_uncertainty_score":0.788929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.544237289280577,"score_gpt":0.471941378212588,"score_spread":0.072295911067989,"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."}}