{"id":"W7095217533","doi":"","title":"= Preposition = Adverb = AdjectiveNamed Entity Recognition","year":2011,"lang":"en","type":"article","venue":"","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adverb; Feature (linguistics); Quarter (Canadian coin); Selection (genetic algorithm); Property (philosophy)","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":[0.002505283,0.001181559,0.00117715,0.002243207,0.001192984,0.002497005,0.002294895,0.002020271,0.02408715],"category_scores_gemma":[0.009405709,0.0008457276,0.001538269,0.003875634,0.0009626105,0.006802897,0.00186687,0.002169346,0.01994623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005303455,"about_ca_system_score_gemma":0.0009019395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0031075,"about_ca_topic_score_gemma":0.00616465,"domain_scores_codex":[0.9985591,0.000584371,0.0001100944,0.0004490217,0.0002257875,0.00007162656],"domain_scores_gemma":[0.9954906,0.003079883,0.0001655695,0.0009391704,0.0002527394,0.00007200921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003395678,0.0002143505,0.003535197,0.0005775925,0.000085082,0.0003764911,0.0001734483,0.01664995,0.005542419,0.020415,0.07855108,0.8735398],"study_design_scores_gemma":[0.00006407004,0.0001642022,0.003908163,0.0001154209,0.00007943944,0.0009913553,0.0004342633,0.6754161,0.01430342,0.235121,0.06930815,0.00009453246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01108818,0.0008154992,0.9667772,0.001687942,0.0002838807,0.000190544,0.006175347,0.008775452,0.004205921],"genre_scores_gemma":[0.1769425,0.001351509,0.770318,0.0005702816,0.0004007157,0.0004242656,0.02416668,0.001931364,0.0238946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02408715,"threshold_uncertainty_score":0.08057958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09703104136229855,"score_gpt":0.2130283322035801,"score_spread":0.1159972908412815,"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."}}