{"id":"W4254525002","doi":"10.5325/shaw.39.1.0152","title":"International Shaw Society","year":2019,"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":"Citation; Icon; Download; Library science; World Wide Web; Computer science; Political 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001918616,0.001057829,0.000477324,0.001725123,0.003242217,0.007388511,0.00144548,0.00283928,0.4488372],"category_scores_gemma":[0.004081517,0.0003269388,0.000583162,0.001236422,0.001015568,0.003045974,0.005767698,0.003097743,0.317738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002144998,"about_ca_system_score_gemma":0.009183643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003068241,"about_ca_topic_score_gemma":0.00634937,"domain_scores_codex":[0.9981255,0.0002642597,0.0001003105,0.0002559908,0.0008318326,0.0004221686],"domain_scores_gemma":[0.99624,0.0001674049,0.0001475653,0.0002794605,0.001620704,0.001544717],"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":[0.00001358555,0.00002400497,0.0002303819,0.00006789067,0.000002590792,0.0001075186,0.000110398,0.00003506794,0.0001109077,0.01102747,0.9395237,0.04874636],"study_design_scores_gemma":[0.000001052052,0.000003957389,0.0001124046,0.00002891343,5.41498e-7,0.00006857369,0.00007842265,0.00001067838,0.00002628591,0.0004384597,0.9992288,0.000001839355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001818512,0.005011428,0.001103128,0.02322343,0.03389452,0.0000954521,0.001021546,0.0006980789,0.9331339],"genre_scores_gemma":[0.006562917,0.002764393,0.0004807007,0.003281137,0.002708829,0.0000620939,0.0007238035,0.00024801,0.9831682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4488372,"threshold_uncertainty_score":0.7861668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00553769422180112,"score_gpt":0.2663827502048727,"score_spread":0.2608450559830716,"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."}}