{"id":"W2516068237","doi":"10.1086/687734","title":": <i>Hamlet After Q1: An Uncanny History of the Shakespearean Text</i>","year":2016,"lang":"en","type":"article","venue":"Renaissance Quarterly","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"HAMLET (protein complex); Uncanny; Content (measure theory); History; Art; Art history; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002469385,0.0003929892,0.000233007,0.001288199,0.007021882,0.00448543,0.0007002312,0.002655864,0.06282509],"category_scores_gemma":[0.0119959,0.0001857916,0.0002285067,0.001823533,0.005308397,0.004865314,0.002250439,0.004723047,0.01645099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003977165,"about_ca_system_score_gemma":0.002724055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107534,"about_ca_topic_score_gemma":0.03783424,"domain_scores_codex":[0.9987375,0.0004715872,0.00004672027,0.0001395743,0.0004551944,0.0001494628],"domain_scores_gemma":[0.9958401,0.001977142,0.000258785,0.0001737983,0.001420305,0.0003299586],"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":[0.00004771761,0.000007545904,0.0004270877,0.0001299636,0.000002253413,0.000225169,0.02334201,0.00001520531,0.0002954647,0.04927874,0.9162914,0.009937571],"study_design_scores_gemma":[0.000004447205,0.00001209603,0.001742948,0.0002798069,0.000002220211,0.0001961063,0.009570423,0.00002092423,0.000329186,0.003559443,0.9842693,0.00001308838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01644077,0.007209356,0.003724864,0.3535234,0.05358484,0.0001422431,0.001775592,0.0004844395,0.5631145],"genre_scores_gemma":[0.2508733,0.003926454,0.001293463,0.08264475,0.01467472,0.000164306,0.001051401,0.001714722,0.6436569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06282509,"threshold_uncertainty_score":0.2101709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226802973479347,"score_gpt":0.20397600790767,"score_spread":0.1812957105597353,"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."}}