{"id":"W1987144723","doi":"10.1075/lab.5.1.02she","title":"Tense, aspect, and agreement in heritage Labrador Inuttitut","year":2015,"lang":"en","type":"article","venue":"Linguistic Approaches to Bilingualism","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Morpheme; Comprehension; Linguistics; Agreement; Rule-based machine translation; Verb; Natural language processing; Object (grammar); Computer science; Fluent; Artificial intelligence; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001043238,0.0003305591,0.0004372028,0.0002954408,0.0001539267,0.000299689,0.0002488118,0.0001019949,0.0001121653],"category_scores_gemma":[0.005514016,0.0003166191,0.00005377763,0.0001219766,0.0002175425,0.00006203748,0.000181353,0.0002497144,0.0001384555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678976,"about_ca_system_score_gemma":0.0001505859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005412595,"about_ca_topic_score_gemma":0.008474511,"domain_scores_codex":[0.9977208,0.0001080872,0.0006408091,0.0006259624,0.000430299,0.0004740512],"domain_scores_gemma":[0.9986584,0.0002038113,0.0001545422,0.0004438152,0.0002410625,0.0002983338],"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":[0.0000447654,0.0001777194,0.0009233266,0.00008327766,0.00003510727,0.0001025761,0.3064027,0.00004679889,0.000006825662,0.6904836,0.0001195911,0.001573624],"study_design_scores_gemma":[0.004395348,0.0007661637,0.002860179,0.0004957669,0.0002814749,0.00006710918,0.1268746,0.01208621,0.0002855252,0.7180718,0.1313935,0.002422239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8282408,0.0006562925,0.001105165,0.01163902,0.005527192,0.00176436,0.00009895444,0.0003902712,0.150578],"genre_scores_gemma":[0.9840016,0.000003625347,0.008799683,0.0004705161,0.00357851,0.00005603874,0.00003989667,0.00005130057,0.002998861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1795281,"threshold_uncertainty_score":0.9999286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437464848806623,"score_gpt":0.2614729309913964,"score_spread":0.1177264461107341,"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."}}