{"id":"W1790626471","doi":"","title":"A morpho-syntactic analysis of Marshallese determiner phrases","year":2012,"lang":"en","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Humanities; Philosophy; Determiner; Morpheme; Linguistics; Noun","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003585135,0.0002226444,0.0002277154,0.001190104,0.0009798164,0.001501509,0.0003185138,0.0003138492,0.008162523],"category_scores_gemma":[0.001323247,0.0002269512,0.0003582619,0.001401584,0.001440703,0.001620148,0.0007881642,0.0006385986,0.001171528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127583,"about_ca_system_score_gemma":0.0008729426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009336372,"about_ca_topic_score_gemma":0.01180755,"domain_scores_codex":[0.9996616,0.00006028387,0.00001701707,0.00009107091,0.0001344341,0.00003557495],"domain_scores_gemma":[0.9993406,0.0002900287,0.00009539857,0.00009591764,0.0001545423,0.00002354509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002273953,0.00004302899,0.02883316,0.0004447117,0.00005793072,0.00173827,0.04345036,0.0007602648,0.2958416,0.4946622,0.002310799,0.1316303],"study_design_scores_gemma":[0.00004801923,0.000268676,0.3733581,0.0002399872,0.0002716599,0.004806526,0.03151895,0.01837539,0.1346356,0.1435837,0.292615,0.0002784405],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8571833,0.001057762,0.06429873,0.0006236131,0.00004777554,0.0001048526,0.0008789189,0.0005760895,0.07522891],"genre_scores_gemma":[0.9715216,0.0003415378,0.01247368,0.00005940513,0.00002412938,0.00003714735,0.0003690714,0.0003071539,0.01486623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009336372,"threshold_uncertainty_score":0.02730638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707038658988892,"score_gpt":0.1994562448534024,"score_spread":0.1823858582635135,"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."}}