{"id":"W4388655346","doi":"10.3390/languages8040267","title":"Subjunctives in Romanian Languages: Micro-Parametric Variation in Complement CPs and the Periphrastic Future","year":2023,"lang":"en","type":"article","venue":"Languages","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; York University","funders":"","keywords":"Romanian; Linguistics; Verb; Variation (astronomy); Computer science; Mathematics; Philosophy; Physics; Astrophysics","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":[0.0005250351,0.0001293711,0.0002013569,0.0003666519,0.0001182058,0.0001600249,0.000117352,0.00004053417,0.0003067076],"category_scores_gemma":[0.0004546395,0.0000942999,0.00003050261,0.0002296818,0.00009713911,0.00007212397,0.00005539054,0.000136619,0.00005290911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005176985,"about_ca_system_score_gemma":0.00001470473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006601934,"about_ca_topic_score_gemma":0.02305455,"domain_scores_codex":[0.9990166,0.00014389,0.0002473744,0.000210395,0.0001612864,0.0002204857],"domain_scores_gemma":[0.999276,0.0004170171,0.00008635478,0.0001634463,0.00003550461,0.00002168654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000654949,0.00006479521,0.01116679,0.0000875632,0.00003994962,0.00006215042,0.4500421,0.00004783132,0.0001952368,0.5362046,0.0001653967,0.001858072],"study_design_scores_gemma":[0.002481845,0.00004786797,0.6997107,0.00008533984,0.00004603673,0.000004501734,0.273396,0.003573009,0.00002679088,0.01838791,0.001970432,0.0002695668],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850167,0.0006429628,0.00004616598,0.009223823,0.0005724282,0.0004232652,0.00003778118,0.00009935026,0.003937505],"genre_scores_gemma":[0.9979714,0.00005491494,0.0001915538,0.0001736664,0.000923941,0.00003802714,0.0000564186,0.00001758283,0.0005724502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6885439,"threshold_uncertainty_score":0.9980193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579197202370293,"score_gpt":0.2526102503836453,"score_spread":0.2368182783599423,"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."}}