{"id":"W262571029","doi":"10.4000/lidil.3246","title":"How typology allows for a new analysis of the verb phrase in Burmese","year":2012,"lang":"en","type":"article","venue":"Lidil","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Francophone University Association","funders":"","keywords":"Typology; Burmese; Verb; Linguistics; Verb phrase; Phrase; Linguistic typology; Verb phrase ellipsis; Computer science; Natural language processing; Artificial intelligence; Modal verb; Sociology; Philosophy; Noun phrase","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":[0.001844427,0.0004808998,0.0005741858,0.002300953,0.00285513,0.004533507,0.000498911,0.0007333604,0.004123835],"category_scores_gemma":[0.003558615,0.0003077756,0.0003383771,0.001859165,0.01050149,0.008047446,0.002921571,0.001673573,0.0002489689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581123,"about_ca_system_score_gemma":0.0007709978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003456137,"about_ca_topic_score_gemma":0.004513088,"domain_scores_codex":[0.9985685,0.0009019648,0.00007661665,0.0002272608,0.0001034733,0.0001221053],"domain_scores_gemma":[0.9987231,0.0007538501,0.0001164371,0.0002500085,0.0001192184,0.00003746918],"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":[0.00003164997,0.000004952219,0.001618305,0.00008011334,0.00001569814,0.0003743145,0.03969329,0.00057258,0.0009949099,0.9445261,0.0004337352,0.01165439],"study_design_scores_gemma":[0.00002681714,0.00005577739,0.008341696,0.0003448251,0.00004323914,0.001615948,0.06396759,0.003645616,0.0013901,0.8183413,0.1021401,0.00008692557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5148841,0.003527119,0.2263175,0.004922693,0.0003865479,0.0001471189,0.0004745062,0.0002088517,0.2491315],"genre_scores_gemma":[0.9819987,0.0002547626,0.01505512,0.00009765501,0.00001642992,0.00004902279,0.0000848388,0.00004338969,0.002400176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004533507,"threshold_uncertainty_score":0.01379561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04218129818074115,"score_gpt":0.2572673050775214,"score_spread":0.2150860068967802,"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."}}