{"id":"W4289025518","doi":"","title":"The internal structure of a differentially marked DP in Romanian","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Romanian; Linguistics; Philosophy","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":[0.0004851565,0.0001550721,0.0002067449,0.0008237569,0.0008466101,0.001907333,0.0004236985,0.0004257198,0.005543657],"category_scores_gemma":[0.00158052,0.0003265945,0.0001880191,0.0008547556,0.002537513,0.002028201,0.001472804,0.001051834,0.0007889452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761542,"about_ca_system_score_gemma":0.0004320718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001652355,"about_ca_topic_score_gemma":0.002160854,"domain_scores_codex":[0.9994298,0.0001813373,0.00003203704,0.0001724189,0.0000978066,0.00008654169],"domain_scores_gemma":[0.9996355,0.0001278092,0.00005118508,0.0001021628,0.00005965316,0.00002357323],"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":[0.0001290551,0.00002402913,0.004809248,0.0001028144,0.00001594303,0.001226943,0.01521972,0.0006851414,0.02319628,0.9102274,0.000854136,0.04350935],"study_design_scores_gemma":[0.0001123909,0.0003133562,0.08212049,0.0002768438,0.0001491449,0.006684781,0.02136272,0.02110191,0.05717851,0.5319037,0.278599,0.0001971636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7244102,0.0003665878,0.06153087,0.0005973548,0.00005701695,0.00004735468,0.0003560508,0.0004709416,0.2121637],"genre_scores_gemma":[0.9895111,0.00005569626,0.006155834,0.00002880349,0.00001150364,0.000008482461,0.00008528815,0.00007865712,0.004064591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005543657,"threshold_uncertainty_score":0.01854533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1368609089821452,"score_gpt":0.5017522078815438,"score_spread":0.3648912988993986,"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."}}