{"id":"W2006742608","doi":"10.1111/j.1749-818x.2009.00171.x","title":"Teaching &amp; Learning Guide for: Noun Incorporation: Essentials and Extensions","year":2009,"lang":"en","type":"article","venue":"Language and Linguistics Compass","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Noun; Linguistics; Computer science; Psychology; Natural language processing; Artificial intelligence; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001175661,0.001263737,0.0009949517,0.001726639,0.0009459912,0.003236146,0.001961414,0.002313639,0.5513974],"category_scores_gemma":[0.005148386,0.0007371209,0.000874448,0.001573949,0.0008215197,0.008119258,0.002960152,0.00277996,0.5575218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009723971,"about_ca_system_score_gemma":0.0021618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938491,"about_ca_topic_score_gemma":0.005463035,"domain_scores_codex":[0.99946,0.0001003029,0.00005141884,0.00007685323,0.0002620604,0.00004918343],"domain_scores_gemma":[0.9967784,0.001102008,0.0001313469,0.0002985398,0.001157338,0.0005323535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001349725,0.00002666576,0.00006531253,0.000126411,8.759199e-7,0.00005418422,0.0001278345,0.00004981089,0.0001828629,0.002003009,0.8741593,0.1231901],"study_design_scores_gemma":[0.000006446823,0.000008351159,0.0001234251,0.00008897892,6.271659e-7,0.00008711714,0.00007888804,0.00008447943,0.0001077348,0.003194355,0.9962137,0.000005882765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001231928,0.006293917,0.06176133,0.02135468,0.008626659,0.0009999025,0.01674306,0.03037923,0.8526092],"genre_scores_gemma":[0.003303024,0.005235611,0.04055942,0.005537335,0.001430791,0.0006755808,0.005069838,0.007889046,0.9302993],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5513974,"threshold_uncertainty_score":0.6398771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514689533519253,"score_gpt":0.3118682759763159,"score_spread":0.2967213806411234,"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."}}