{"id":"W4388691974","doi":"10.5325/shaw.43.2.0370","title":"INTERNATIONAL SHAW SOCIETY","year":2023,"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":"Icon; Citation; Download; Library science; Media studies; World Wide Web; Computer science; Sociology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001817596,0.001059429,0.0004860805,0.00171748,0.003437875,0.007798233,0.00149542,0.00306248,0.4484147],"category_scores_gemma":[0.004091681,0.0003341696,0.0005861388,0.001196711,0.00110877,0.003226425,0.005996668,0.003319709,0.2970501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087994,"about_ca_system_score_gemma":0.008285629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002928753,"about_ca_topic_score_gemma":0.006479896,"domain_scores_codex":[0.9982141,0.0002690652,0.0000974737,0.000257833,0.0007676368,0.0003939009],"domain_scores_gemma":[0.9967167,0.0001663706,0.0001316021,0.000268394,0.001348193,0.001368606],"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":[0.00001342365,0.00002493407,0.0002380534,0.00007084397,0.000002940099,0.0001272144,0.0001364656,0.00003600244,0.0001071873,0.01354046,0.9352316,0.05047094],"study_design_scores_gemma":[9.96784e-7,0.000003743529,0.00009924597,0.00003275129,5.712902e-7,0.00007749907,0.00008992639,0.00001032423,0.00002460317,0.0005224374,0.999136,0.000001867012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001750191,0.005368301,0.001113423,0.02451355,0.03506205,0.00008838347,0.0009112096,0.000636242,0.9305567],"genre_scores_gemma":[0.007062235,0.003066446,0.000496375,0.003797997,0.00292709,0.00006168547,0.0006581346,0.0002459215,0.9816841],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5515853,"threshold_uncertainty_score":0.7867695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628756591320235,"score_gpt":0.3147852850068594,"score_spread":0.2984977190936571,"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."}}