{"id":"W1943731802","doi":"10.3765/salt.v18i0.2478","title":"Classifiers and Number Marking","year":2008,"lang":"en","type":"article","venue":"Proceedings from Semantics and Linguistic Theory","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Artificial intelligence; Computer science; Natural language processing; Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041182,0.000265713,0.0003239193,0.00009030278,0.0007211165,0.0002906923,0.0001274012,0.00009468849,0.0004095316],"category_scores_gemma":[0.001965133,0.0002513926,0.00004821798,0.00003709915,0.0005840072,0.00008653347,0.0001100652,0.0002266743,0.00003792954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002366221,"about_ca_system_score_gemma":0.00002790183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004169407,"about_ca_topic_score_gemma":0.00003506839,"domain_scores_codex":[0.9986229,0.00001852406,0.0003620003,0.0004383416,0.0002354128,0.0003228381],"domain_scores_gemma":[0.9988292,0.0003816206,0.000202423,0.0001120048,0.000334093,0.0001406269],"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":[0.00003825004,0.00003195761,0.01194844,0.00006985213,0.00007036358,0.00001987647,0.06828881,5.44593e-8,0.00006004653,0.9187773,0.0001452445,0.0005498413],"study_design_scores_gemma":[0.0005329312,0.00004195554,0.004756241,0.000170285,0.0002072237,0.00004971199,0.008866931,0.001365047,0.00008159662,0.966708,0.01675477,0.000465316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8868998,0.0003357228,0.0006095793,0.001592155,0.002104433,0.000229847,0.00004266341,0.000209166,0.1079766],"genre_scores_gemma":[0.9932078,0.0002171027,0.001490243,0.0002432968,0.003280323,0.000008206626,0.00001416754,0.00005136663,0.001487562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1064891,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444233439481788,"score_gpt":0.2225352957406664,"score_spread":0.1980929613458485,"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."}}