{"id":"W34657749","doi":"10.1016/j.chiabu.2021.105358","title":"Negative Structure in Japanese","year":2014,"lang":"en","type":"article","venue":"Child Abuse & Neglect","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Vancouver Foundation; Pierre Elliott Trudeau Foundation","keywords":"Negation; Linguistics; Scope (computer science); Contrast (vision); Object (grammar); Information structure; Movement (music); Computer science; Psychology; Artificial intelligence; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008332384,0.0001802604,0.0002251217,0.0001420683,0.0002064214,0.0001451473,0.0001764666,0.00006259987,0.00116382],"category_scores_gemma":[0.0005564171,0.0001579747,0.00005483542,0.00006277368,0.0001031242,0.000115366,0.00002093029,0.0002300975,0.0001179804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000487383,"about_ca_system_score_gemma":0.00001485385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330935,"about_ca_topic_score_gemma":0.01151939,"domain_scores_codex":[0.9989697,0.00008580218,0.0002475959,0.0002674991,0.0001710618,0.0002582812],"domain_scores_gemma":[0.9993019,0.0001781134,0.0001051138,0.0002709379,0.00009352082,0.00005045583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004965477,0.0001051749,0.001004252,0.00005381784,0.00005629881,0.00000944258,0.5951836,0.0001279217,0.0002260435,0.4003418,0.0006471593,0.002194909],"study_design_scores_gemma":[0.007105659,0.0006432871,0.07484376,0.001243682,0.0002465381,0.00004923829,0.02776364,0.01006415,0.003980816,0.7423812,0.1290678,0.002610283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406677,0.00005079298,0.00003434432,0.003872715,0.001545366,0.0002677712,0.00002422121,0.0001258198,0.05341122],"genre_scores_gemma":[0.9962458,0.000008693147,0.0001140156,0.0006661792,0.002424002,0.000006247649,0.00002893703,0.00003032617,0.0004757706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5674199,"threshold_uncertainty_score":0.9997492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109518590997435,"score_gpt":0.2130693773817649,"score_spread":0.2021175182820214,"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."}}