{"id":"W4391862623","doi":"10.51644/9781554580798-011","title":"Notes","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de la Défense Nationale; University of Toronto; University of Oxford","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006244024,0.00079956,0.00064138,0.001275705,0.00279201,0.002663442,0.001211057,0.001031033,0.5405495],"category_scores_gemma":[0.004231977,0.0002136929,0.0003299831,0.002063981,0.0005778329,0.002281519,0.001498481,0.0020335,0.3617304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843043,"about_ca_system_score_gemma":0.001698455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213758,"about_ca_topic_score_gemma":0.01467742,"domain_scores_codex":[0.9994926,0.0000715217,0.00003451917,0.0001144607,0.0002216868,0.00006507953],"domain_scores_gemma":[0.9985664,0.0003323156,0.00009844162,0.0001886673,0.0007050165,0.0001090977],"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":[0.00001917652,0.0000141451,0.0001075727,0.00008650737,0.00000143794,0.00005649326,0.0002612954,0.00001855038,0.0001014191,0.02118583,0.955559,0.02258858],"study_design_scores_gemma":[0.00000199232,0.000003129676,0.0001958636,0.00004323397,5.649075e-7,0.00002530447,0.0001280264,0.000004823993,0.00003710723,0.0008080495,0.9987501,0.000001899778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008315221,0.001966783,0.0009727933,0.008316795,0.00799067,0.0002012364,0.007912428,0.0002663431,0.9715414],"genre_scores_gemma":[0.004860357,0.001289855,0.0005148842,0.001741968,0.0008606599,0.0001372794,0.002942963,0.0001986998,0.9874534],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4594505,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03099241078702826,"score_gpt":0.2074022190085312,"score_spread":0.1764098082215029,"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."}}