{"id":"W4210791605","doi":"10.1515/tlr-2021-2081","title":"Differential subject marking through SE","year":2022,"lang":"en","type":"article","venue":"The Linguistic Review","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Linguistics; Romance languages; Verb; Subject (documents); Object (grammar); Argument (complex analysis); Romanian; Clitic; Opposition (politics); Reflexivity; Rule-based machine translation; Pronoun; Computer science; Mathematics; Philosophy; Sociology; Political science","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":[0.001332563,0.000242487,0.0003917427,0.001263079,0.0004984356,0.002449905,0.0005767404,0.0004597702,0.003066167],"category_scores_gemma":[0.00244264,0.000155492,0.0002856655,0.00144174,0.006499073,0.003406388,0.001705778,0.001029535,0.0005663896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008060202,"about_ca_system_score_gemma":0.000548365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005700958,"about_ca_topic_score_gemma":0.0005701616,"domain_scores_codex":[0.9985411,0.0006717162,0.0001203487,0.0003009142,0.0002555806,0.0001103163],"domain_scores_gemma":[0.9989016,0.0004628364,0.0002072432,0.0002677957,0.0001332756,0.00002730303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004931308,0.00001122421,0.002690448,0.0006675289,0.00003020295,0.0004131872,0.007130652,0.0002454918,0.005839914,0.8849487,0.001003932,0.09696948],"study_design_scores_gemma":[0.00003253311,0.0001589253,0.01705148,0.00128746,0.00008244141,0.004658478,0.007397302,0.001117909,0.02220575,0.568736,0.3772047,0.00006696944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.431849,0.06740484,0.04918446,0.005886027,0.0006711798,0.00005467949,0.0004143105,0.0005192317,0.4440162],"genre_scores_gemma":[0.9864987,0.006191923,0.002620393,0.0001987107,0.0001028011,0.000009294321,0.0000725896,0.00005825323,0.004247256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003066167,"threshold_uncertainty_score":0.01025742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06616991915140734,"score_gpt":0.2903657029929835,"score_spread":0.2241957838415762,"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."}}