{"id":"W2049663224","doi":"10.1353/shaw.2006.0009","title":"Mrs Warren in Context","year":2006,"lang":"en","type":"article","venue":"Shaw","topic":"Literature Analysis and Criticism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Interpretation (philosophy); Censorship; Index (typography); Popularity; Sociology; Art history; Classics; History; Media studies; Law; Philosophy; Political science; Linguistics; Computer science","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":[0.0008037845,0.000981436,0.0005987313,0.0009900513,0.007396717,0.007174324,0.001175562,0.002554736,0.08074407],"category_scores_gemma":[0.003135752,0.0003571386,0.0003027975,0.001519882,0.003418574,0.005707755,0.005532144,0.004558281,0.02677079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004106618,"about_ca_system_score_gemma":0.004740428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02684355,"about_ca_topic_score_gemma":0.0559914,"domain_scores_codex":[0.9985569,0.000651246,0.00004180262,0.0002070504,0.0003454336,0.0001976203],"domain_scores_gemma":[0.9994295,0.0000996153,0.00006443515,0.00003726462,0.0001725034,0.0001966246],"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":[0.000005681788,0.000004639808,0.00007874344,0.00009599491,0.000001686956,0.0001582999,0.004085348,0.00001152544,0.00004884421,0.0171544,0.9523981,0.02595676],"study_design_scores_gemma":[3.382049e-7,0.000001309422,0.00006987623,0.0001400115,5.305298e-7,0.00008095393,0.001973105,0.00000181015,0.000006938043,0.0006822218,0.997041,0.000001753401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002203376,0.258577,0.0006084036,0.1684744,0.04547775,0.00005335544,0.0002784134,0.0001872762,0.5241401],"genre_scores_gemma":[0.06713871,0.1173322,0.0009120581,0.05220424,0.01525881,0.0001166516,0.0003403711,0.0003146365,0.7463825],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08074407,"threshold_uncertainty_score":0.2701159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00626547353933683,"score_gpt":0.2523977024813728,"score_spread":0.246132228942036,"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."}}