{"id":"W4251530012","doi":"10.1515/9780804780735-001","title":"Acknowledgments","year":2020,"lang":"en","type":"book-chapter","venue":"Stanford University Press eBooks","topic":"Literature: history, themes, analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Modern Language Association","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004632066,0.000418503,0.0004886935,0.0002149638,0.0004402482,0.0001583683,0.0006188191,0.0002236173,0.002220814],"category_scores_gemma":[0.00000491918,0.0004618113,0.0003949626,0.000003854148,0.0004249296,0.000164609,0.0002834825,0.0005096478,0.000167314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003046015,"about_ca_system_score_gemma":0.00009306642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001020998,"about_ca_topic_score_gemma":0.0004444197,"domain_scores_codex":[0.9986931,0.00002292815,0.0002174606,0.0004745585,0.0003499215,0.0002420453],"domain_scores_gemma":[0.9987909,0.00002793767,0.0002559252,0.0004954207,0.0002496346,0.0001802295],"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":[0.00007574945,0.000006643173,1.527081e-7,0.00008236989,0.0004946961,0.0001008237,0.01006476,2.704995e-7,0.00000143711,0.8927311,0.09566242,0.0007795424],"study_design_scores_gemma":[0.0003398717,0.00005480204,7.119362e-8,0.00009836102,0.0005665105,5.927868e-7,0.0003911435,0.000008480214,0.000006754352,0.001940879,0.9961179,0.000474659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002540356,0.0004364342,0.00002660478,0.00002598355,0.0006497039,0.0002385369,0.0007919217,0.0001962368,0.997632],"genre_scores_gemma":[0.0004921185,0.00004685179,0.00003848812,0.0001934037,0.0006535892,5.122774e-7,0.0001482113,0.00006289119,0.9983639],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9004555,"threshold_uncertainty_score":0.9997833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747435455052602,"score_gpt":0.1807921275529509,"score_spread":0.1433177730024249,"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."}}