{"id":"W2251567988","doi":"10.21991/c9kd3h","title":"DISTINGUISHING ZUNDEL AND KEEGSTRA","year":2011,"lang":"en","type":"article","venue":"Constitutional Forum / Forum constitutionnel","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0001719001,0.0003063601,0.0002690431,0.00019265,0.002306699,0.0001929565,0.0002013397,0.00008435485,0.001484484],"category_scores_gemma":[0.0001914912,0.0002679919,0.0001667955,0.0000827297,0.01036016,0.0006947656,0.0001602028,0.0002398507,0.0001015538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004035032,"about_ca_system_score_gemma":0.0001953026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004326996,"about_ca_topic_score_gemma":0.001005275,"domain_scores_codex":[0.9983504,0.00002985167,0.000394188,0.0004192785,0.0002471669,0.0005591067],"domain_scores_gemma":[0.9991735,0.00008667108,0.0001297404,0.000216537,0.0002257805,0.0001677975],"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":[0.00003285035,0.00008573717,0.01046323,0.00002625308,0.0001190109,0.00004524602,0.005612331,0.000003933585,0.00001079048,0.9801074,0.002511295,0.0009818804],"study_design_scores_gemma":[0.002206002,0.0002044684,0.003070387,0.0004228213,0.0002383117,0.0004706093,0.05611823,0.0002206487,0.0001677702,0.1398998,0.7955233,0.001457663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02710905,0.003086105,0.009435272,0.001145782,0.002711819,0.000425921,0.0004244633,0.0004304142,0.9552312],"genre_scores_gemma":[0.9965783,0.00005096816,0.001225118,0.001001677,0.0002889534,0.0000488803,0.00004903899,0.00001006176,0.0007469515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9694693,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903300525343404,"score_gpt":0.2199212204326451,"score_spread":0.170888215179211,"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."}}