{"id":"W2271395040","doi":"10.1038/ncomms10073","title":"Past experience shapes ongoing neural patterns for language","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Centre for Research on Brain Language and Music","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Centre for Research on Brain, Language and Music","keywords":"Computer science; Data science","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":[0.0002261284,0.00009383677,0.000142765,0.000331022,0.0001389312,0.0006836707,0.0002151701,0.0002599211,0.00192216],"category_scores_gemma":[0.001142286,0.0001578364,0.0001213729,0.0002120014,0.0003758775,0.000651136,0.000292596,0.0003492921,0.0001955779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930301,"about_ca_system_score_gemma":0.0001315381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009276209,"about_ca_topic_score_gemma":0.002783437,"domain_scores_codex":[0.9998941,0.00001055422,0.000004033698,0.00004727572,0.00002271355,0.00002121884],"domain_scores_gemma":[0.9996277,0.0001115008,0.00009380159,0.0000540013,0.00004230252,0.00007067697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004347876,0.0001584689,0.2739255,0.0001200104,0.0001216561,0.0005049135,0.002771104,0.0006607533,0.6139205,0.001553976,0.0003753183,0.105453],"study_design_scores_gemma":[0.000004726199,0.0001649633,0.9895296,0.00001268454,0.00001438296,0.0002576407,0.000451323,0.0006609117,0.007441985,0.0009254125,0.0005260914,0.00001036905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976927,0.0001174341,0.0007129075,0.00004231952,0.000003180948,0.000002116795,0.00004088474,0.000009170157,0.001379319],"genre_scores_gemma":[0.9988445,0.0001188986,0.0003947576,0.00001185665,0.000003057119,0.000004717853,0.00006390903,0.000006274961,0.0005519831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00192216,"threshold_uncertainty_score":0.006430268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08559137562222549,"score_gpt":0.3827092347168991,"score_spread":0.2971178590946736,"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."}}