{"id":"W4255531654","doi":"10.1002/cjs.11337","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Canadian Journal of Statistics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; Library science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002954478,0.0001735431,0.0003445142,0.0004806632,0.0001295244,0.0001241018,0.0001983515,0.0002243354,0.01423087],"category_scores_gemma":[0.0009105593,0.0001667978,0.00006009883,0.0001205966,0.00007423663,0.0002634803,0.000006090014,0.0003195957,0.004708813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762741,"about_ca_system_score_gemma":0.002026372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001343081,"about_ca_topic_score_gemma":0.006928657,"domain_scores_codex":[0.998545,0.00004311369,0.0008719413,0.00005516392,0.0002617552,0.0002230606],"domain_scores_gemma":[0.9967716,0.0001649762,0.001227874,0.0001644932,0.001247557,0.0004235472],"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":[0.000004042645,0.000002877167,0.00002642546,0.0001787902,0.0000343933,0.000009635661,0.0005628089,0.00003511702,1.354486e-7,0.009411935,0.9840825,0.005651294],"study_design_scores_gemma":[0.0001830419,0.00008591775,0.0001453403,0.000214359,0.00008294696,0.00007245184,0.00004481879,0.0002776111,0.000004436956,0.01922778,0.9794915,0.0001697444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000673657,0.0007012904,0.782331,0.0009756471,0.03432111,0.0005635752,0.01524222,0.00001337609,0.1651781],"genre_scores_gemma":[0.01762989,0.000508319,0.7051697,0.002035258,0.01374845,0.000008796591,0.006008747,0.0002499256,0.2546409],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08946283,"threshold_uncertainty_score":0.9960662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120513146343162,"score_gpt":0.3096328035011949,"score_spread":0.2684276720377633,"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."}}