{"id":"W3164327528","doi":"10.1007/978-3-030-57004-0_7","title":"Personal se with Unergatives in Romanian","year":2021,"lang":"en","type":"book-chapter","venue":"Studies in natural language and linguistic theory","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Romanian; Reflexivity; Merge (version control); Romance languages; Romance; Linguistics; Generalization; Epistemology; Mathematics; Sociology; Philosophy; Literature; Art; Computer science; Anthropology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000348671,0.0003935437,0.0006222734,0.0002360007,0.0001630027,0.00007142963,0.000111827,0.0001129563,0.0005229709],"category_scores_gemma":[0.001797074,0.0003037531,0.0000657073,0.00002225389,0.0007090202,0.00003011987,0.0001258765,0.000615911,0.000008878108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128142,"about_ca_system_score_gemma":0.0000564394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003833276,"about_ca_topic_score_gemma":0.01529856,"domain_scores_codex":[0.9986162,0.00007198278,0.00036538,0.000459561,0.0002248983,0.0002620089],"domain_scores_gemma":[0.9985859,0.0007737131,0.0001826756,0.0001799412,0.0002425488,0.00003517918],"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":[0.0000637363,0.00001231032,0.00001659954,0.0001753218,0.0001762497,0.0009701115,0.318586,3.454812e-7,8.015827e-7,0.6789253,0.00001409344,0.001059136],"study_design_scores_gemma":[0.001461874,0.0001966802,0.0001780919,0.004945158,0.0003863847,0.00004984293,0.3453889,0.0000836012,0.000006833039,0.6263883,0.01961734,0.001296923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01554428,0.1187308,0.00000483642,0.0007994249,0.004404438,0.0004863448,0.0001623661,0.0001012209,0.8597663],"genre_scores_gemma":[0.7551631,0.0003658613,0.0001398106,0.0001446813,0.00251802,0.000009509942,0.00007451617,0.00004978261,0.2415347],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7396188,"threshold_uncertainty_score":0.9999415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392639242140715,"score_gpt":0.2679720269303548,"score_spread":0.2440456345089477,"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."}}