{"id":"W2583684386","doi":"","title":"Automatically determining allowable combinations of a class of flexible multiword expressions","year":2006,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Measure (data warehouse); Class (philosophy); Collocation (remote sensing); Simple (philosophy); Natural language processing; Artificial intelligence; Noun; Data mining; Machine learning","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":[0.002597097,0.0005728799,0.00067221,0.003538264,0.001040429,0.002662888,0.0008702551,0.001008059,0.00241584],"category_scores_gemma":[0.02115148,0.0005360234,0.0007423765,0.001749596,0.001197914,0.003994266,0.001808913,0.001206183,0.0008666967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006277346,"about_ca_system_score_gemma":0.000852548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009535736,"about_ca_topic_score_gemma":0.001348263,"domain_scores_codex":[0.9952318,0.001267398,0.0007231841,0.001258757,0.001292537,0.0002262148],"domain_scores_gemma":[0.9752808,0.01557191,0.003325765,0.002139851,0.003168514,0.0005130654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001281741,0.0003008129,0.2243496,0.001350698,0.000340646,0.002561473,0.004569932,0.01549876,0.1401179,0.0748443,0.006543258,0.5282409],"study_design_scores_gemma":[0.00009313757,0.0003315275,0.1192084,0.0004885335,0.0002740312,0.006261912,0.005149317,0.5618391,0.1000471,0.1672315,0.03877669,0.0002987781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7010512,0.0005949434,0.2853874,0.0004076812,0.00007560106,0.0002725651,0.001886354,0.00143232,0.008891979],"genre_scores_gemma":[0.9016437,0.0001184077,0.09546025,0.00005858171,0.00003289018,0.0001354436,0.001502858,0.0003272682,0.0007205554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003538264,"threshold_uncertainty_score":0.01373494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716124899684771,"score_gpt":0.2491162065785113,"score_spread":0.2219549575816636,"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."}}