{"id":"W938683852","doi":"10.5214/ans.0972.7531.1118307","title":"Learning to become an expert: reinforcement learning and the acquisition of perceptual expertise","year":2011,"lang":"en","type":"article","venue":"Annals of Neurosciences","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Computer science; Reinforcement learning; Perception; Reinforcement; Artificial intelligence; Perceptual learning; Human–computer interaction; Psychology; Neuroscience; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.003940945,0.0001297402,0.0003661988,0.000328202,0.0003907706,0.0001658692,0.0007826097,0.00003262641,0.0003373674],"category_scores_gemma":[0.00284993,0.00007323799,0.0001119844,0.0007138092,0.0005579513,0.0005622178,0.0003473316,0.0001056989,0.00001316032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003010759,"about_ca_system_score_gemma":0.00002545544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003086834,"about_ca_topic_score_gemma":0.00001631895,"domain_scores_codex":[0.9963425,0.0005726491,0.0008542227,0.0004720846,0.001505886,0.0002526901],"domain_scores_gemma":[0.9978026,0.000853022,0.0004771582,0.0003488681,0.0003665941,0.0001517333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002092211,0.0003925328,0.04236155,0.00002420251,0.0000249359,0.00002654865,0.4471356,0.01623181,0.1632258,0.03443343,0.003487934,0.2905634],"study_design_scores_gemma":[0.003236189,0.01529975,0.3792807,0.0004147501,0.00002470945,0.0001391783,0.2925683,0.1986883,0.03809336,0.02959967,0.041173,0.001482102],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934126,0.0002898414,0.00281119,0.0003542769,0.0003469005,0.0001869574,7.368138e-7,0.0000182095,0.002579291],"genre_scores_gemma":[0.9981518,0.00004695947,0.000258013,0.0005420076,0.00003899869,0.000009561667,1.216546e-7,0.000005801911,0.0009467055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3369192,"threshold_uncertainty_score":0.3693936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3416904041578308,"score_gpt":0.440926162996032,"score_spread":0.0992357588382013,"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."}}