{"id":"W4311680975","doi":"10.22215/etd/2022-15165","title":"Modelling the Accuracy Rates of Spatial Relational Reasoning Problems: An Analysis Facilitating ACT-R and PRISM Theory","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Python (programming language); Prism; Computer science; Cognitive psychology; Task (project management); Psychology; Artificial intelligence; Programming language; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.01558896,0.0006796155,0.001125169,0.003058411,0.000383289,0.002787245,0.00230386,0.001904854,0.006018502],"category_scores_gemma":[0.2227048,0.0007035791,0.001847209,0.003212055,0.001395229,0.002751269,0.001738251,0.003228807,0.002204243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453495,"about_ca_system_score_gemma":0.001010255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011589,"about_ca_topic_score_gemma":0.00459872,"domain_scores_codex":[0.9905709,0.005057449,0.0007598139,0.001245309,0.001899858,0.0004667148],"domain_scores_gemma":[0.6173087,0.3377954,0.01200302,0.02215202,0.009108226,0.001632591],"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":[0.006577936,0.001328903,0.7239928,0.0004691028,0.0009232615,0.000446317,0.004931324,0.1289774,0.003436052,0.01312323,0.00395073,0.111843],"study_design_scores_gemma":[0.0001762752,0.001017841,0.4281488,0.00009577678,0.0003577045,0.001474267,0.0007843193,0.5385888,0.003766458,0.02338567,0.002006162,0.0001978838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466863,0.0004751698,0.04331619,0.000300954,0.00003543017,0.0002301115,0.002518229,0.0004196974,0.006017939],"genre_scores_gemma":[0.9860512,0.000136048,0.008808211,0.00004261861,0.00001601393,0.0001608252,0.002782343,0.0002392274,0.001763521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01558896,"threshold_uncertainty_score":0.08244324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372807131753534,"score_gpt":0.3010927961361304,"score_spread":0.267364724818595,"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."}}