{"id":"W4256224392","doi":"10.1515/9781501747946-001","title":"Acknowledgments","year":2019,"lang":"en","type":"book-chapter","venue":"Cornell University Press eBooks","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; National Endowment for the Humanities","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002158551,0.0008197099,0.0007153473,0.002202732,0.001292532,0.002184242,0.00147649,0.0005761102,0.4343118],"category_scores_gemma":[0.01341604,0.0002597633,0.0003343324,0.001657925,0.0004161316,0.001833061,0.002466166,0.002187787,0.2805701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506756,"about_ca_system_score_gemma":0.001797535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058211,"about_ca_topic_score_gemma":0.004063025,"domain_scores_codex":[0.9973519,0.0004916969,0.00009825533,0.0004277544,0.001522497,0.0001079306],"domain_scores_gemma":[0.9886388,0.001058065,0.000402275,0.0005006217,0.007927187,0.001473079],"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":[0.00005043519,0.00001481381,0.000128177,0.0002297486,0.000003248678,0.00007981357,0.0003695861,0.00005673783,0.001206536,0.0057114,0.9442002,0.04794924],"study_design_scores_gemma":[0.000004138071,0.000003902112,0.0001854388,0.00007813831,0.000002234038,0.00008288046,0.0001252139,0.0000310856,0.0001398275,0.0005960676,0.9987478,0.000003166808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004591798,0.01039737,0.02440945,0.04022504,0.07291397,0.001352386,0.02575507,0.004917494,0.8154374],"genre_scores_gemma":[0.01089881,0.002464253,0.01138104,0.005047916,0.005888133,0.0005566811,0.009433617,0.002620341,0.9517092],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5656881,"threshold_uncertainty_score":0.8068855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0969223084058672,"score_gpt":0.1848598175885941,"score_spread":0.08793750918272687,"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."}}