{"id":"W2341848803","doi":"10.31234/osf.io/ntw5p","title":"Countability in Absence of Count Syntax: Evidence from Japanese Quantity Judgments","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Categorization, perception, and language","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Syntax; Linguistics; Noun; Computer science; Mathematics; Philosophy","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":[0.004595879,0.0007362741,0.0006193267,0.001429122,0.0009472268,0.002230569,0.00066825,0.0009690912,0.003867237],"category_scores_gemma":[0.03382798,0.0008990933,0.000486561,0.001065196,0.002956609,0.003726459,0.003250655,0.0008161149,0.0005008111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004524773,"about_ca_system_score_gemma":0.0004503562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008821255,"about_ca_topic_score_gemma":0.01122461,"domain_scores_codex":[0.9960417,0.0007887881,0.000582191,0.001222258,0.001080284,0.0002848012],"domain_scores_gemma":[0.9701377,0.0121224,0.006858939,0.004293508,0.005392219,0.001195171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003219128,0.0003236174,0.6167166,0.001202241,0.0005328227,0.001694095,0.05328568,0.0004273033,0.2671747,0.003686483,0.0007170987,0.05102038],"study_design_scores_gemma":[0.00006369754,0.0003192726,0.9829983,0.00004876497,0.0001813076,0.0006104056,0.004220184,0.0007475121,0.007466685,0.00202081,0.001216034,0.0001071134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953969,0.000124802,0.0007551564,0.00004969667,0.000008812533,0.000007820797,0.0000632627,0.00001394282,0.00357968],"genre_scores_gemma":[0.9985078,0.00006585172,0.0007387386,0.00008014516,0.00001158799,0.00001776499,0.0001438128,0.00003204842,0.0004023701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008821255,"threshold_uncertainty_score":0.02430558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05645814491042676,"score_gpt":0.3606573205794386,"score_spread":0.3041991756690118,"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."}}