{"id":"W3000352073","doi":"10.1177/1747021820903461","title":"Processing gapping: Parallelism and grammatical constraints","year":2020,"lang":"en","type":"article","venue":"Quarterly Journal of Experimental Psychology","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of General Medical Sciences","keywords":"Ellipsis (linguistics); Computer science; Parsing; Natural language processing; Sentence; Linguistics; Artificial intelligence; Sentence processing; Constraint (computer-aided design); Dependent clause; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001131694,0.0001353229,0.0002676765,0.00005782169,0.00007065142,0.00003883142,0.0002177241,0.00008191622,0.0001457487],"category_scores_gemma":[0.00007181791,0.0001082062,0.00006871086,0.00007833116,0.0005846251,0.0001619361,0.00001646245,0.0002843753,0.00001898181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006067764,"about_ca_system_score_gemma":0.00002222577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.229235e-7,"about_ca_topic_score_gemma":5.774673e-8,"domain_scores_codex":[0.9987911,0.0001639335,0.0004365762,0.0002619247,0.0001260597,0.0002203804],"domain_scores_gemma":[0.9993776,0.0000774702,0.0002415346,0.00007837162,0.00002439738,0.0002006104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001502956,0.0001111384,0.00003785178,0.00000687444,0.000005605189,0.001445813,0.00738713,1.22498e-7,0.9756199,0.0002767672,0.0003517017,0.01460685],"study_design_scores_gemma":[0.01006607,0.02209449,0.0004824527,0.000133571,0.00006216289,0.07647125,0.01758807,0.0002501994,0.8607827,0.004432003,0.00670029,0.0009367989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925739,0.0007625676,0.0006614935,0.004366409,0.0002778691,0.00008497373,0.00000157841,0.00002192615,0.001249313],"genre_scores_gemma":[0.9886407,0.00001273083,0.0008093871,0.01027871,0.00023918,0.000001349437,2.947226e-7,0.00001062696,0.000007011154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1148372,"threshold_uncertainty_score":0.4412521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06968620049969597,"score_gpt":0.3640914226609251,"score_spread":0.2944052221612292,"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."}}