{"id":"W966884901","doi":"10.1016/j.lingua.2015.06.011","title":"Experimental evidence of variation and gradience in the syntax and semantics of transitive subject control","year":2015,"lang":"en","type":"article","venue":"Lingua","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Syntax; Transitive relation; Linguistics; Variation (astronomy); Subject (documents); Semantics (computer science); Control (management); Mathematics; Computer science; Philosophy; Artificial intelligence; Programming language; Physics; Combinatorics; World Wide Web","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":[0.004756403,0.0005655697,0.0005406495,0.0007877297,0.0006948986,0.002339844,0.001033286,0.001302096,0.009484862],"category_scores_gemma":[0.03038284,0.001093334,0.0003176381,0.0005693191,0.006088688,0.003006722,0.002310236,0.001972908,0.0007424495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006051629,"about_ca_system_score_gemma":0.0005780476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381096,"about_ca_topic_score_gemma":0.001134272,"domain_scores_codex":[0.9950113,0.002088804,0.0004938821,0.001099589,0.001055468,0.000250973],"domain_scores_gemma":[0.9643844,0.02199121,0.00307748,0.008028136,0.001631011,0.0008878051],"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":[0.006641617,0.001463095,0.02639937,0.001026664,0.0003254652,0.0006745046,0.01901053,0.002289591,0.6050045,0.2750858,0.002399231,0.05967962],"study_design_scores_gemma":[0.002042844,0.002595544,0.2773031,0.0001753889,0.0004035919,0.005221717,0.006263479,0.0129913,0.08263571,0.5960733,0.01386032,0.0004338153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708098,0.0002707333,0.007605292,0.0006470885,0.00008528952,0.00003247453,0.0001583426,0.0001030948,0.02028792],"genre_scores_gemma":[0.9969297,0.00007053591,0.001899263,0.0001289653,0.00003747366,0.00002524925,0.00008894892,0.000129551,0.0006903228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009484862,"threshold_uncertainty_score":0.03173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04753178107632512,"score_gpt":0.272438951309812,"score_spread":0.2249071702334869,"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."}}