{"id":"W4245392889","doi":"10.5325/shaw.40.2.0401","title":"International Shaw Society","year":2020,"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; World Wide Web; Media studies; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003433131,0.00005024057,0.0001025705,0.000008769035,0.00002012678,0.00002551218,0.00005992061,0.00003667404,0.002066226],"category_scores_gemma":[0.00002931591,0.00003910262,0.0001569105,0.00008689476,0.00001699222,0.00004752417,0.0000264653,0.0001072836,0.0001623845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001078467,"about_ca_system_score_gemma":0.00001602109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000297208,"about_ca_topic_score_gemma":2.652401e-7,"domain_scores_codex":[0.9995396,0.000004279586,0.0000937143,0.0001260756,0.0001581936,0.00007816388],"domain_scores_gemma":[0.9997531,0.000008535701,0.00001372396,0.00007739338,0.00005634179,0.00009087241],"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":[0.000102652,0.0001881713,0.02401256,0.0001169651,0.0008121764,0.000140482,0.007046324,0.000003670454,0.02368441,0.02453428,0.9051003,0.01425801],"study_design_scores_gemma":[0.0005270051,0.00005195482,0.002099615,0.00002441742,0.000089301,0.000009114465,0.0002630416,0.002156951,0.0009202829,0.0001600347,0.993634,0.00006425718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06712045,0.001298966,0.002266849,0.2809949,0.0005220035,0.0002088157,0.00005318342,0.0002225714,0.6473122],"genre_scores_gemma":[0.9574298,0.00003966592,0.001476657,0.03728097,0.0009729866,0.000002600224,0.00007610559,0.000007645842,0.002713517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8903094,"threshold_uncertainty_score":0.998846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195286355296981,"score_gpt":0.2821223567041596,"score_spread":0.2625937211744615,"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."}}