{"id":"W4226171704","doi":"10.1525/collabra.33133","title":"Syntactic Representations Contain Semantic Information: Evidence From Balinese Passives","year":2022,"lang":"en","type":"article","venue":"Collabra Psychology","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Economic and Social Research Council; University of Liverpool; Lembaga Pengelola Dana Pendidikan; European Commission","keywords":"Syntax; Linguistics; Computer science; Semantics (computer science); Meaning (existential); Natural language processing; Representation (politics); Artificial intelligence; Psychology; Programming language; 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":[0.002451472,0.0003842663,0.0002443945,0.0007698345,0.0007792086,0.001597321,0.00034726,0.0005095425,0.003009179],"category_scores_gemma":[0.009283293,0.0004693365,0.0001509994,0.0004252396,0.003253571,0.002414277,0.001466793,0.0006350714,0.0006182354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000191345,"about_ca_system_score_gemma":0.0002172538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153458,"about_ca_topic_score_gemma":0.001655298,"domain_scores_codex":[0.9989192,0.0004626471,0.0000886573,0.0002093094,0.0002258365,0.00009420758],"domain_scores_gemma":[0.9895338,0.006180411,0.00165909,0.001063542,0.001311145,0.000251899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001056066,0.0003799489,0.496332,0.0004421303,0.0001001651,0.001811217,0.3363498,0.0003478805,0.09932426,0.01490446,0.0005467752,0.0484053],"study_design_scores_gemma":[0.00004899781,0.0006709557,0.844786,0.0001543281,0.0001483887,0.004670849,0.09699395,0.001806771,0.02715747,0.01161075,0.01185686,0.00009454117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994101,0.0000407982,0.0006256243,0.00005241666,0.000002133622,0.000004690006,0.00002262871,0.000006527333,0.005144183],"genre_scores_gemma":[0.9994484,0.00003709427,0.0001502331,0.00001234471,0.000003880592,0.000003860644,0.00003778973,0.000006856021,0.0002994968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003009179,"threshold_uncertainty_score":0.01296473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07412751633306909,"score_gpt":0.3615063223719733,"score_spread":0.2873788060389043,"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."}}