{"id":"W2006329944","doi":"10.1037/a0027023","title":"An exemplar model of performance in the artificial grammar task: Holographic representation.","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Topic Modeling","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Natural language processing; Artificial intelligence; Grammar; Memory model; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00242269,0.0005273897,0.0008129478,0.0011302,0.0003817411,0.001937703,0.003083008,0.001750221,0.006811082],"category_scores_gemma":[0.0130572,0.0004528603,0.001678505,0.0009703948,0.00135754,0.004498598,0.001301977,0.001365332,0.001094785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111011,"about_ca_system_score_gemma":0.001075114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004436098,"about_ca_topic_score_gemma":0.002029133,"domain_scores_codex":[0.9990603,0.0003588885,0.00005009859,0.0002799244,0.0001567709,0.00009393664],"domain_scores_gemma":[0.9938446,0.003797659,0.0006411583,0.001019878,0.0004466997,0.0002500486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000624122,0.0006047903,0.01922101,0.0003647147,0.0004350933,0.0006410463,0.002615576,0.1462096,0.01014478,0.7229101,0.005603984,0.09062508],"study_design_scores_gemma":[0.00007116187,0.0002189508,0.006602067,0.00002080668,0.00007935319,0.0005211477,0.0001327556,0.6709925,0.001166531,0.3170641,0.003079274,0.00005134947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1882308,0.0007858308,0.7831897,0.002866757,0.0001496256,0.0003061656,0.001163172,0.0009099894,0.02239798],"genre_scores_gemma":[0.9024608,0.0003608732,0.08855262,0.0002723236,0.00006021104,0.0004261324,0.0006997922,0.0001359348,0.007031401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006811082,"threshold_uncertainty_score":0.02278537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08623202579178714,"score_gpt":0.3302681238390607,"score_spread":0.2440360980472736,"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."}}