{"id":"W1988016002","doi":"10.1093/jos/ffn007","title":"Syntax and Semantics of It-Clefts: A Tree Adjoining Grammar Analysis","year":2008,"lang":"en","type":"article","venue":"Journal of Semantics","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Syntax; Programming language; Grammar; Semantics (computer science); Linguistics; Tree (set theory); Natural language processing; Abstract syntax tree; Philosophy; Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001601383,0.0004599316,0.0005317658,0.001239476,0.001164148,0.002346528,0.001028336,0.0009559956,0.003476745],"category_scores_gemma":[0.002747815,0.0003787675,0.001427155,0.001377865,0.004216595,0.005344014,0.001840929,0.001639588,0.0005818096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222769,"about_ca_system_score_gemma":0.001370729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002763104,"about_ca_topic_score_gemma":0.00152405,"domain_scores_codex":[0.9988402,0.0004566867,0.0001193311,0.0002012949,0.0002819512,0.0001006062],"domain_scores_gemma":[0.9983437,0.0007379955,0.0001529581,0.0003163381,0.0003722058,0.00007683058],"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":[0.000007034123,0.000006269579,0.0003000204,0.00003070786,0.000005897684,0.0001837039,0.001260874,0.001310692,0.001093583,0.9891757,0.000413682,0.006211814],"study_design_scores_gemma":[0.000007283004,0.00001782607,0.0003423563,0.00003272045,0.00002233601,0.0002748967,0.0005374652,0.02109999,0.0017123,0.9656318,0.01030677,0.00001427568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04421831,0.0002994722,0.9343874,0.0009844557,0.00007121579,0.0001135679,0.0002612115,0.0005461557,0.01911822],"genre_scores_gemma":[0.69501,0.0004368859,0.2979836,0.0004225577,0.0000998012,0.0001673672,0.0005036477,0.0005448457,0.004831215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003476745,"threshold_uncertainty_score":0.01163083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724109633521458,"score_gpt":0.2596329703731936,"score_spread":0.242391874037979,"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."}}