{"id":"W2086143120","doi":"10.1007/bf02987155","title":"Pregroups and natural language processing","year":2006,"lang":"en","type":"article","venue":"The Mathematical Intelligencer","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Natural (archaeology); Programming language; History; Archaeology","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":[0.002872853,0.0007907275,0.001122586,0.002920189,0.002791815,0.007751109,0.001539,0.002029473,0.01127929],"category_scores_gemma":[0.007483648,0.0006726329,0.001235934,0.002577341,0.009755704,0.02150372,0.003079416,0.004588463,0.002058215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002599971,"about_ca_system_score_gemma":0.001353482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172833,"about_ca_topic_score_gemma":0.001964063,"domain_scores_codex":[0.9979233,0.0009725466,0.0001350906,0.0004556194,0.0003274311,0.0001860135],"domain_scores_gemma":[0.9942322,0.003965421,0.0004057339,0.000796476,0.0003890831,0.000211086],"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":[0.00004142789,0.00002615447,0.0002058778,0.00006034509,0.00001030245,0.00003689888,0.0004532039,0.0006223765,0.0001618832,0.9833783,0.00295553,0.01204771],"study_design_scores_gemma":[0.000004810255,0.000003854584,0.0000504686,0.000009072395,0.000002465497,0.0000192463,0.00006436541,0.0007354183,0.00006981404,0.9941977,0.004838239,0.000004507604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1298924,0.04824496,0.5676523,0.06560937,0.002974054,0.0001901387,0.00119298,0.003314214,0.1809295],"genre_scores_gemma":[0.8118236,0.01109848,0.1132586,0.003585454,0.004041893,0.0003252339,0.00139722,0.0005423878,0.05392712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01127929,"threshold_uncertainty_score":0.03773296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105385630900176,"score_gpt":0.2778319309741621,"score_spread":0.2567780746651604,"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."}}