{"id":"W4392333097","doi":"10.1515/9781782045847-001","title":"Acknowledgements","year":2015,"lang":"en","type":"book-chapter","venue":"Boydell and Brewer eBooks","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001858194,0.0003493443,0.0003752633,0.0001891661,0.000146705,0.0002356244,0.000189767,0.0001935316,0.01488208],"category_scores_gemma":[0.000008342643,0.0002827949,0.0001535448,0.000002650681,0.0003014075,0.00005929279,0.0001639542,0.0002953696,0.002373296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003364982,"about_ca_system_score_gemma":0.00003545195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004669831,"about_ca_topic_score_gemma":0.0002560673,"domain_scores_codex":[0.9988466,0.000007991605,0.0003047851,0.0003517439,0.0002732661,0.0002156032],"domain_scores_gemma":[0.9987998,0.00002236063,0.0001416523,0.0003602176,0.0005456382,0.000130323],"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":[0.00001502247,0.000006279406,4.565202e-7,0.0000380651,0.000213533,0.00001471793,0.004374037,1.901963e-8,0.000001044842,0.6454623,0.3317101,0.01816442],"study_design_scores_gemma":[0.0001727581,0.00004370294,2.149148e-7,0.00009755056,0.0002305673,0.000002491503,0.0001025078,0.000002014382,0.000003947704,0.09104865,0.907974,0.0003215958],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009677266,0.003035897,0.000007586878,0.00002678628,0.001204782,0.000138753,0.0001027137,0.00007498997,0.9953988],"genre_scores_gemma":[0.0009924532,0.0000178742,0.00004288948,0.0004268864,0.00316871,0.000004039385,0.00006706383,0.00006476382,0.9952153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5762638,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04449796265647928,"score_gpt":0.2319184351628533,"score_spread":0.1874204725063741,"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."}}