{"id":"W200071433","doi":"","title":"The Toronto Esan Grammar Project","year":2009,"lang":"en","type":"other","venue":"Americanae (AECID Library)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grammar; Speech community; Linguistics; Class (philosophy); Documentation; Sociology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00250241,0.0006276731,0.0002441348,0.001408153,0.006479426,0.005233095,0.001247748,0.001048354,0.07562239],"category_scores_gemma":[0.002998295,0.0002959331,0.0002834844,0.001466593,0.002229984,0.001499345,0.003953488,0.001224949,0.01384708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03241397,"about_ca_system_score_gemma":0.03591226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6183642,"about_ca_topic_score_gemma":0.7903995,"domain_scores_codex":[0.9980574,0.0004228368,0.00004714704,0.0003079215,0.0007937095,0.0003709353],"domain_scores_gemma":[0.9971772,0.0002288721,0.00007733297,0.0002751612,0.001208645,0.001032584],"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":[0.00007035912,0.00008233828,0.00190008,0.00009030172,0.000007973033,0.0006817795,0.006439975,0.000554088,0.0007301745,0.1104768,0.7961254,0.08284066],"study_design_scores_gemma":[0.000008391036,0.000008244904,0.002435252,0.0000454838,0.000002280684,0.00005139128,0.002453823,0.0002622917,0.0001676939,0.002800232,0.9917567,0.000008223373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03000174,0.001727788,0.00261746,0.01987825,0.001160353,0.0002052387,0.006533308,0.000998192,0.9368777],"genre_scores_gemma":[0.1166377,0.002148385,0.007447787,0.002072481,0.0001807983,0.0002476467,0.008446759,0.00090609,0.8619122],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6183642,"threshold_uncertainty_score":0.7677667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305946313111256,"score_gpt":0.2242052720835553,"score_spread":0.2111458089524428,"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."}}