{"id":"W4241360849","doi":"10.3765/salt.v0i0.2478","title":"Classifiers and Number Marking","year":2015,"lang":"en","type":"article","venue":"Proceedings from Semantics and Linguistic Theory","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Artificial intelligence; Computer science; Pattern recognition (psychology); Natural language processing; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000368815,0.0001049867,0.000113019,0.00003134813,0.0001511446,0.00019433,0.0001966676,0.00004894302,0.000004323872],"category_scores_gemma":[0.0002915103,0.00009684666,0.00001516522,0.0001129802,0.0001001085,0.0001038575,0.000209881,0.000106471,0.00001058599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001346871,"about_ca_system_score_gemma":0.00002802565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002092327,"about_ca_topic_score_gemma":4.278352e-7,"domain_scores_codex":[0.9992656,0.000007401793,0.0001345957,0.0003023724,0.000130866,0.000159236],"domain_scores_gemma":[0.9994019,0.0001120405,0.00006475369,0.00009830637,0.0001546292,0.0001683401],"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":[0.000003656137,0.00001731,0.004440276,0.00000928491,0.00001098761,0.000002446534,0.001735312,2.259245e-7,0.00006098585,0.9899375,0.0003493415,0.003432608],"study_design_scores_gemma":[0.000239792,0.0000193748,0.003649218,0.00003413154,0.00002066347,0.00002662979,0.0004758736,0.04010553,0.00004764374,0.9394848,0.01572347,0.0001729012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3392546,0.001945404,0.5784163,0.002428635,0.0009873001,0.0003351828,0.00001684349,0.0004214328,0.07619424],"genre_scores_gemma":[0.9395058,0.00006451653,0.05973168,0.0001442731,0.0002994147,0.000007976906,0.000002005762,0.000008301287,0.0002360292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6002511,"threshold_uncertainty_score":0.3949292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844661278574656,"score_gpt":0.2445692880432593,"score_spread":0.2261226752575128,"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."}}