{"id":"W3216854874","doi":"10.1515/phras-2021-0004","title":"Morphemic and Syntactic Phrasemes","year":2021,"lang":"en","type":"article","venue":"Yearbook of Phraseology","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Morpheme; Linguistics; Lexeme; Prosody; Computer science; Syntactic structure; Syntax; Morphophonology; Artificial intelligence; Natural language processing; Philosophy; Phonology","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":[0.0003689735,0.0002659505,0.0001680753,0.0007286907,0.0007656607,0.001731383,0.0002392245,0.0003845636,0.008417131],"category_scores_gemma":[0.0007730707,0.0001361373,0.0001153508,0.0007155437,0.002200429,0.002234891,0.00111761,0.001009751,0.001112323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000630882,"about_ca_system_score_gemma":0.0003260417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005268438,"about_ca_topic_score_gemma":0.0006509878,"domain_scores_codex":[0.9994957,0.0002747285,0.00004187183,0.0000619299,0.00008127012,0.00004455537],"domain_scores_gemma":[0.9997535,0.0001180701,0.00002605673,0.00004027571,0.00004905947,0.00001290511],"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":[0.00006325699,0.0000111,0.000554883,0.0001476262,0.000005393483,0.0002981145,0.00479493,0.0001283918,0.005869661,0.9438065,0.003468052,0.04085195],"study_design_scores_gemma":[0.0000287872,0.0001133707,0.007534035,0.0003063384,0.00003778604,0.002656322,0.006485577,0.001423056,0.008784208,0.3748362,0.5977507,0.00004348741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2207049,0.006792604,0.05596719,0.002565051,0.0006224891,0.00009556053,0.0007784755,0.0003096659,0.7121641],"genre_scores_gemma":[0.9554402,0.002496211,0.01204879,0.0004249229,0.0001760112,0.00006473418,0.0004544195,0.000131438,0.02876337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008417131,"threshold_uncertainty_score":0.02815813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413740018423048,"score_gpt":0.2106917609973028,"score_spread":0.1965543608130723,"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."}}