{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001433804,0.00117281,0.001024102,0.003926317,0.00466776,0.009795945,0.002069743,0.002706147,0.680898],"category_scores_gemma":[0.007162687,0.0006720248,0.0005936807,0.004407292,0.001001284,0.003403318,0.002003607,0.002904081,0.4002922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01226074,"about_ca_system_score_gemma":0.02573665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4177794,"about_ca_topic_score_gemma":0.5942169,"domain_scores_codex":[0.9980019,0.00008973423,0.00007580349,0.00015123,0.001368968,0.0003124169],"domain_scores_gemma":[0.9945682,0.0004494449,0.0001353907,0.0004863819,0.003565469,0.0007950889],"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":[0.00001367045,0.000009827872,0.00006945931,0.00006031318,9.80653e-7,0.00001574426,0.00003103168,0.00001346633,0.00003659463,0.002980413,0.9872848,0.009483719],"study_design_scores_gemma":[0.000003747464,0.000002914573,0.0005361383,0.00005227062,8.689984e-7,0.000007555582,0.00004987174,0.00001936571,0.00005310106,0.0004625222,0.9988081,0.000003458149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003364644,0.001308708,0.0002013627,0.00440042,0.002874221,0.0002057346,0.02191091,0.0005363105,0.968226],"genre_scores_gemma":[0.002016621,0.0007656916,0.0001337508,0.0008372847,0.0003192168,0.00004407547,0.005699604,0.0001900254,0.9899938],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4177794,"threshold_uncertainty_score":0.8306953,"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."}}