{"id":"W3174893858","doi":"","title":"Teaching individuals to conduct a preference assessment procedure using computer-aided personalized system of instruction","year":2013,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Preference; Computer science; Computer-aided; Mathematics education; Psychology; Mathematics; Programming language; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005533296,0.0008667971,0.0006852353,0.001074602,0.0006377146,0.0004328318,0.001181618,0.0006151332,0.01160809],"category_scores_gemma":[0.01126541,0.000425016,0.0007611288,0.0004350311,0.0003894032,0.0008358561,0.001094768,0.001088369,0.006070081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003446632,"about_ca_system_score_gemma":0.001179835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004652097,"about_ca_topic_score_gemma":0.001629438,"domain_scores_codex":[0.9972908,0.0007823969,0.0004439855,0.0006267074,0.0006763304,0.0001796658],"domain_scores_gemma":[0.9929113,0.00280421,0.0007065466,0.001484237,0.001743384,0.0003504038],"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":[0.001235803,0.009746074,0.01211378,0.0008747645,0.00005508787,0.0002785836,0.003313802,0.0007292792,0.06146011,0.0007904464,0.01414029,0.8952619],"study_design_scores_gemma":[0.004752016,0.05971629,0.3745283,0.00137866,0.0005958877,0.006800131,0.008252395,0.02948203,0.2937205,0.008885173,0.2107677,0.001121067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5602772,0.0005905547,0.3705614,0.001041847,0.0006238917,0.03276347,0.001597915,0.006579353,0.0259644],"genre_scores_gemma":[0.3230492,0.0009727112,0.6226751,0.0009225266,0.0001945908,0.02855006,0.0008195421,0.0003226399,0.02249363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01160809,"threshold_uncertainty_score":0.03883296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04353780347751528,"score_gpt":0.2813419989200133,"score_spread":0.237804195442498,"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."}}