{"id":"W4401335402","doi":"10.1037/cep0000342","title":"Updating local and global probabilities during maze navigation.","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Task (project management); ENCODE; Reliability (semiconductor); Computer science; PsycINFO; Representation (politics); Artificial intelligence; Cognitive psychology; Psychology; MEDLINE; Engineering; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002177612,0.0003615059,0.0005379682,0.0006389135,0.0002890716,0.0006283209,0.001141673,0.0002627126,0.0007963919],"category_scores_gemma":[0.0003345537,0.0003351793,0.0002616227,0.0006828899,0.0008620689,0.000713789,0.00008248225,0.0005067043,0.0001296846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001931163,"about_ca_system_score_gemma":0.0005613303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002183745,"about_ca_topic_score_gemma":0.01060554,"domain_scores_codex":[0.9962341,0.0002017428,0.001363079,0.0009338494,0.0002178539,0.001049399],"domain_scores_gemma":[0.9970243,0.0002382915,0.000365358,0.0006533339,0.0001674759,0.001551232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008925538,0.0008553131,0.1572949,0.0001408013,0.0006521615,0.02373818,0.05106846,0.0006932265,0.1126274,0.02036777,0.09487978,0.5367895],"study_design_scores_gemma":[0.007645267,0.004887141,0.1370966,0.002300714,0.0002406495,0.09455901,0.2103888,0.001089065,0.02337803,0.4102746,0.1042829,0.003857101],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828967,0.006499291,0.0003841138,0.001541355,0.004544967,0.0002154244,0.0001393265,0.00003752673,0.003741324],"genre_scores_gemma":[0.9967114,0.00001653532,0.002085242,0.0006367495,0.0002823307,0.0000164215,0.000008006332,0.00003639889,0.0002068758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5329323,"threshold_uncertainty_score":0.99991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08597934004897054,"score_gpt":0.3965047750507864,"score_spread":0.3105254350018158,"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."}}