{"id":"W2558121504","doi":"10.1017/s0272263116000395","title":"EYE GAZE AND PRODUCTION ACCURACY PREDICT ENGLISH L2 SPEAKERS’ MORPHOSYNTACTIC LEARNING","year":2016,"lang":"en","type":"article","venue":"Studies in Second Language Acquisition","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Gaze; Psychology; Comprehension; Transitive relation; Linguistics; Production (economics); Eye tracking; Language production; Cognitive psychology; Communication; Artificial intelligence; Computer science; Cognition; Mathematics","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":[0.0005573749,0.0003152238,0.0001732978,0.0003455715,0.0001600275,0.0006276952,0.0001440854,0.0003603562,0.002834219],"category_scores_gemma":[0.004239668,0.0001734839,0.0001563528,0.0001523597,0.0002179671,0.0004266902,0.0003708143,0.0003094563,0.0005437381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592019,"about_ca_system_score_gemma":0.000122478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004018436,"about_ca_topic_score_gemma":0.004185285,"domain_scores_codex":[0.9997212,0.00006055108,0.00002973324,0.00007108812,0.0000805179,0.00003681874],"domain_scores_gemma":[0.9967163,0.001531791,0.001008606,0.0001760679,0.0003919716,0.0001751717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003555915,0.0002513765,0.9294149,0.00003789854,0.00004337226,0.0003621126,0.003959053,0.0001967076,0.05237684,0.00006855859,0.0001379472,0.0127956],"study_design_scores_gemma":[0.000004759523,0.0001362493,0.996177,0.0000041224,0.000009540418,0.0002639838,0.0007330207,0.0003376289,0.00213781,0.00004291577,0.0001469992,0.000005956126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993936,0.00002638077,0.0001059762,0.000009910332,0.000001255306,0.000002817987,0.00002492736,0.000004770395,0.0004303496],"genre_scores_gemma":[0.9991313,0.00003311332,0.0001219358,0.000005856537,0.000001508579,0.000005660052,0.00005733173,0.000004719981,0.0006386669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004018436,"threshold_uncertainty_score":0.00948143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020544329709949,"score_gpt":0.3385052918787186,"score_spread":0.3179609621687696,"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."}}