{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001959435,0.001173263,0.001543269,0.001735911,0.001562331,0.003851694,0.002415042,0.002089626,0.1148386],"category_scores_gemma":[0.0101779,0.0005709382,0.00123988,0.002530465,0.001600309,0.008823152,0.002352914,0.003088504,0.07111659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698585,"about_ca_system_score_gemma":0.0013076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558207,"about_ca_topic_score_gemma":0.001897504,"domain_scores_codex":[0.9986115,0.0002875823,0.00008235074,0.0005371954,0.0003711604,0.000110151],"domain_scores_gemma":[0.9959497,0.002048821,0.0001980165,0.000658816,0.000870051,0.0002745165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003268934,0.0001853216,0.0009170125,0.001581367,0.0001604306,0.0002204862,0.0002349023,0.001506771,0.001596624,0.2850658,0.4355697,0.2726346],"study_design_scores_gemma":[0.00005186172,0.00008180545,0.001217794,0.0006203135,0.0001149582,0.0002937155,0.0001686549,0.003528137,0.002606571,0.409732,0.5815188,0.00006546102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009540834,0.1320517,0.2152114,0.0778766,0.09413197,0.0002633376,0.007788131,0.003575949,0.4595601],"genre_scores_gemma":[0.1969105,0.07042802,0.06746068,0.01488113,0.04567193,0.0007593833,0.01766341,0.001627426,0.5845975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1148386,"threshold_uncertainty_score":0.3841735,"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."}}