{"id":"W4233263759","doi":"10.1111/capa.12139","title":"Issue Information ‐ Prelim","year":2016,"lang":"en","type":"paratext","venue":"Canadian Public Administration","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003630157,0.0002034448,0.0001925173,0.0004243905,0.0007608086,0.0009145364,0.0004210573,0.0006744128,0.03003892],"category_scores_gemma":[0.0004098241,0.0001888986,0.00007204988,0.0002933074,0.0002076193,0.001846186,0.00001254836,0.0002176225,0.07118952],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008264119,"about_ca_system_score_gemma":0.01417812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.11134,"about_ca_topic_score_gemma":0.7964873,"domain_scores_codex":[0.9982613,0.0001533646,0.000339705,0.0001910718,0.000386423,0.0006681161],"domain_scores_gemma":[0.9980899,0.0000558485,0.0002206322,0.0002538889,0.000320301,0.001059433],"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":[0.000001978851,0.00000320553,0.000006762253,0.00002032429,0.00001099223,0.000001167487,0.001204595,1.608589e-8,2.999859e-7,0.100063,0.8856954,0.01299231],"study_design_scores_gemma":[0.00008057054,0.0000429171,0.00001658753,0.00003354025,0.000007644076,0.000001192174,0.0003848793,8.463742e-7,0.00001189206,0.0002384512,0.9989269,0.0002545422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000576607,0.0001436479,0.00004910764,0.1633093,0.004031193,0.0003611068,0.0008178474,0.00004348196,0.8311867],"genre_scores_gemma":[0.3155291,0.0002884553,0.0000230885,0.002403255,0.004791894,0.0000609331,0.001695191,0.00001582174,0.6751922],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6851473,"threshold_uncertainty_score":0.9914106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571532571214085,"score_gpt":0.3235765196718847,"score_spread":0.2978611939597438,"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."}}