{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003325269,0.0001063049,0.0001242599,0.00002436617,0.0001219967,0.0002770663,0.0004832669,0.00003809184,0.00002701903],"category_scores_gemma":[0.00003696715,0.00005494073,0.00003659911,0.0001592032,0.0001285511,0.0001628803,0.0001575872,0.0001217712,0.0001289021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001224327,"about_ca_system_score_gemma":0.00001205291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004248519,"about_ca_topic_score_gemma":0.000009358119,"domain_scores_codex":[0.9991668,0.0000401368,0.0001933229,0.000189592,0.0001947355,0.0002153941],"domain_scores_gemma":[0.9994723,0.0001191121,0.00005650095,0.0002848837,0.00003331656,0.00003388464],"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":[0.000001495618,0.00003618275,0.00003564663,0.00006832175,0.000004891074,0.000006445404,0.003024646,0.000002481643,0.000129906,0.9008307,0.0001666336,0.09569257],"study_design_scores_gemma":[0.00007110067,0.00005039258,0.0001902154,0.000027531,0.00001419704,0.0001529548,0.0006329538,0.1456666,0.003932396,0.8472127,0.001806893,0.0002421316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008709881,0.003793565,0.9733886,0.0004253805,0.0001249013,0.0002264043,1.105595e-7,0.0001829513,0.01314817],"genre_scores_gemma":[0.993036,0.000003250314,0.0045803,0.00008631865,0.0001123543,0.00001796128,4.151947e-7,0.000006363476,0.002157005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9843261,"threshold_uncertainty_score":0.2671756,"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."}}