{"id":"W2972750970","doi":"10.7202/1062924ar","title":"“Keep in Touch”","year":2019,"lang":"en","type":"article","venue":"Studies in Canadian Literature","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004678488,0.0006855315,0.0005473394,0.002732223,0.06850876,0.01676841,0.002733906,0.005263615,0.0151531],"category_scores_gemma":[0.01132931,0.0002923735,0.0004556556,0.004277838,0.05789528,0.007289437,0.006429942,0.008311462,0.001935795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05734174,"about_ca_system_score_gemma":0.1034397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9247894,"about_ca_topic_score_gemma":0.9605728,"domain_scores_codex":[0.9941602,0.001496921,0.0001054401,0.0005878612,0.001820488,0.001829096],"domain_scores_gemma":[0.9942679,0.001027528,0.0003104482,0.0004721497,0.002750543,0.001171374],"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":[0.00004067843,0.00002541751,0.001891661,0.00008665767,0.00001209511,0.0002546338,0.2499201,0.00007725743,0.0004145874,0.5827118,0.1367895,0.02777562],"study_design_scores_gemma":[0.000005560164,0.00001048495,0.003978189,0.0001877065,0.00001575292,0.0001200435,0.1705669,0.00005815808,0.0002757046,0.0244436,0.8002993,0.00003852157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05547135,0.0068352,0.001612271,0.1608267,0.002412181,0.0000639927,0.0001593946,0.0001907613,0.7724282],"genre_scores_gemma":[0.7567807,0.002235627,0.001282995,0.02354692,0.0004368255,0.00005143755,0.00007668252,0.0002167511,0.2153721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07521063,"threshold_uncertainty_score":0.4160454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255359164452683,"score_gpt":0.2680009824892323,"score_spread":0.2354473908447054,"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."}}