{"id":"W4241721796","doi":"10.1111/lnc3.12391","title":"Dislocations","year":2020,"lang":"en","type":"article","venue":"Language and Linguistics Compass","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Linguistic Association; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Dislocation; Syntax; Linguistics; Core (optical fiber); Computer science; Syntactic structure; Key (lock); Sociology; Psychology; Epistemology; Pure mathematics; Mathematics; Philosophy; Physics; Computer security; Telecommunications; Condensed matter physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005758983,0.0001064381,0.0001451361,0.00002966253,0.0002012668,0.0001629305,0.00009797581,0.00002539617,0.0005118322],"category_scores_gemma":[0.001996363,0.0001012276,0.00002949799,0.00002742406,0.00008705013,0.00001261261,0.00004339701,0.0001027831,0.0001120446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008196845,"about_ca_system_score_gemma":0.00001667671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005463798,"about_ca_topic_score_gemma":0.0003607727,"domain_scores_codex":[0.9993677,0.00002059813,0.0001847408,0.0001708018,0.0001156014,0.0001405279],"domain_scores_gemma":[0.999437,0.0001086023,0.0000648082,0.000127236,0.0001602882,0.0001021118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004996769,0.00002051743,0.0001859433,0.00003570575,0.00001947243,0.0000146547,0.112653,0.000006192505,0.00002187945,0.8854958,0.0009912758,0.0005505486],"study_design_scores_gemma":[0.001206957,0.0002106956,0.001295334,0.00009285261,0.0003158758,0.000004584146,0.07227314,0.03890641,0.000366456,0.0762381,0.8081581,0.0009314927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1543926,0.001520977,0.01587033,0.09020726,0.01004892,0.0008996318,0.0005273884,0.001371835,0.7251611],"genre_scores_gemma":[0.9906446,0.000005494352,0.0009063257,0.001164144,0.006697117,0.000004613979,0.00005949353,0.00001771985,0.000500443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.836252,"threshold_uncertainty_score":0.5604203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102420352631353,"score_gpt":0.2494450990460473,"score_spread":0.2184208955197338,"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."}}