{"id":"W4241033854","doi":"10.1007/978-1-4939-7131-2_100333","title":"Entity Extraction","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Extraction (chemistry); Computer science; Chromatography; Chemistry","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":[0.002342971,0.001777582,0.001207815,0.006178337,0.001785111,0.005786067,0.002558661,0.001047797,0.1064971],"category_scores_gemma":[0.008318182,0.0008578463,0.001865674,0.008972844,0.0007431697,0.01035974,0.005128425,0.001974566,0.1080217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009755754,"about_ca_system_score_gemma":0.001778248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894855,"about_ca_topic_score_gemma":0.002697846,"domain_scores_codex":[0.998365,0.0002646571,0.0002090786,0.00051878,0.0005595639,0.00008290457],"domain_scores_gemma":[0.9970289,0.0007459873,0.00009823428,0.001316583,0.000728423,0.00008185113],"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":[0.00005177223,0.00004548537,0.0004778797,0.0007097381,0.00004777662,0.0001512559,0.0002328666,0.000828306,0.003368074,0.07338018,0.2880521,0.6326545],"study_design_scores_gemma":[0.000007584903,0.00001260959,0.0004301968,0.0002288834,0.00004845547,0.0005034661,0.0001325997,0.003503304,0.007377675,0.04939133,0.9383322,0.00003171999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002222373,0.003612728,0.762253,0.002297091,0.001324877,0.0008616711,0.02887947,0.02138808,0.1771607],"genre_scores_gemma":[0.02374925,0.006901543,0.6204791,0.001454697,0.0006585652,0.0006072862,0.1170292,0.006607267,0.222513],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1064971,"threshold_uncertainty_score":0.3562684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3408290175831832,"score_gpt":0.4610012396116445,"score_spread":0.1201722220284613,"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."}}