{"id":"W4210807585","doi":"10.3138/9781487537784-001","title":"Acknowledgments","year":2020,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Renaissance and Early Modern Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001784302,0.0001918242,0.0003375847,0.000009355968,0.0001929934,0.00002367647,0.0002722849,0.00008784966,0.002771279],"category_scores_gemma":[0.000001535938,0.0002098798,0.0001730494,7.207477e-8,0.0003594185,0.0001014184,0.0002113631,0.000106636,0.00008997796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006182135,"about_ca_system_score_gemma":0.0000225763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01922855,"about_ca_topic_score_gemma":0.03811381,"domain_scores_codex":[0.999387,0.000006380268,0.0001064275,0.0002222521,0.0001655579,0.0001124406],"domain_scores_gemma":[0.9994568,0.00001338795,0.0001517435,0.0001962357,0.0001237773,0.00005808444],"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":[0.00006887037,0.000008432861,7.101407e-7,0.0001225416,0.0004207395,0.00002188362,0.05821596,2.663831e-7,0.00000424221,0.8370541,0.09731481,0.006767392],"study_design_scores_gemma":[0.0002179593,0.00006847622,0.000001901878,0.0001331961,0.0001401147,1.474412e-7,0.0002916071,0.000003633885,0.000009861093,0.001044898,0.9978899,0.0001983503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004005912,0.003795523,0.000008897558,0.00001578659,0.0002533423,0.0001398689,0.0001108717,0.00005431519,0.9956174],"genre_scores_gemma":[0.001398583,0.0006117885,0.00002741566,0.00002625149,0.0002964858,1.215158e-7,0.00001067795,0.00002070266,0.9976079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.900575,"threshold_uncertainty_score":0.9981403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06177181364302004,"score_gpt":0.2032970717335038,"score_spread":0.1415252580904838,"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."}}