{"id":"W4235869047","doi":"10.1525/aft.2009.37.1.47","title":"Paradigm Shift","year":2009,"lang":"en","type":"article","venue":"Afterimage","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Afterimage; Computer science; History; Library science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001599458,0.000778281,0.0007663582,0.002800381,0.001241297,0.004168858,0.002177196,0.002951431,0.1761701],"category_scores_gemma":[0.006608224,0.0003764092,0.0008023297,0.002723172,0.001459638,0.00494111,0.002656578,0.003879642,0.101724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003933585,"about_ca_system_score_gemma":0.005552923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004971884,"about_ca_topic_score_gemma":0.01034489,"domain_scores_codex":[0.9986174,0.0002172979,0.0001022236,0.0002326591,0.0006829316,0.0001474558],"domain_scores_gemma":[0.9969074,0.0006274806,0.0001697061,0.0002977291,0.001569927,0.0004278036],"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":[0.00002202751,0.00002507744,0.00005182651,0.0009350568,0.00001258273,0.00004977087,0.00008194622,0.00002678323,0.000232122,0.006847114,0.8067924,0.1849233],"study_design_scores_gemma":[0.000003814956,0.000006924304,0.00008426411,0.0003178563,0.000003914426,0.0001095346,0.00003811336,0.0000053857,0.00004589608,0.001290234,0.9980909,0.000003200381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0006746905,0.555418,0.001750661,0.08246095,0.03471226,0.0001701784,0.001257769,0.0004035294,0.3231519],"genre_scores_gemma":[0.01015583,0.4554869,0.001461033,0.0531349,0.01824756,0.0002282501,0.002078569,0.0003423327,0.4588647],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1761701,"threshold_uncertainty_score":0.5893475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316696603917887,"score_gpt":0.2318162113035973,"score_spread":0.2086492452644184,"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."}}