{"id":"W2296632836","doi":"10.1075/slcs.129","title":"Semantics","year":2012,"lang":"en","type":"book","venue":"Studies in language companion series","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Semantics (computer science); Programming language","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":[0.00119743,0.000885813,0.0007767976,0.001630334,0.002459462,0.006305267,0.001365732,0.001826692,0.02961953],"category_scores_gemma":[0.002423987,0.000388562,0.0008438919,0.001334794,0.006757169,0.008710273,0.003197437,0.002834173,0.01097771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002762563,"about_ca_system_score_gemma":0.001637004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879685,"about_ca_topic_score_gemma":0.00163083,"domain_scores_codex":[0.9983879,0.0004558695,0.0001421571,0.0004282171,0.0004558334,0.0001300458],"domain_scores_gemma":[0.9992309,0.0002778737,0.00005172789,0.0002121003,0.0001751137,0.00005233545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003099289,0.000002334705,0.00002774048,0.00002811886,0.000003365559,0.00001954413,0.0002636951,0.00008437466,0.00004491077,0.9816537,0.01059538,0.00727371],"study_design_scores_gemma":[0.000002669301,0.000004011095,0.00005351331,0.00004704714,0.000002576033,0.00009842501,0.0001646522,0.0001982439,0.00008616476,0.5915391,0.407799,0.000004640332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002148514,0.01444106,0.09501331,0.01315401,0.0023343,0.00007781466,0.0009080584,0.0006991575,0.8712238],"genre_scores_gemma":[0.2949182,0.02391165,0.07770573,0.01047645,0.004690516,0.0005550908,0.003567984,0.001359247,0.582815],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02961953,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0707087166415321,"score_gpt":0.308414779867609,"score_spread":0.2377060632260769,"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."}}