{"id":"W7165503355","doi":"","title":"Canadian Issues","year":2012,"lang":"en","type":"other","venue":"MiCISAN","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; State (computer science); Population; Simple (philosophy); Investment (military)","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":[0.00007106639,0.000237512,0.0002306462,0.0005403879,0.00002504578,0.00002231386,0.0002722971,0.0003093319,0.1341311],"category_scores_gemma":[0.000009429947,0.000239456,0.00005155448,0.0001162278,0.0000388804,0.00001832671,0.00001969857,0.0001504551,0.2998446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000289435,"about_ca_system_score_gemma":0.0001397375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9162171,"about_ca_topic_score_gemma":0.9602792,"domain_scores_codex":[0.998993,0.00003078745,0.00008421778,0.0001997149,0.0001347488,0.0005575668],"domain_scores_gemma":[0.999031,0.000003650149,0.00006544012,0.0004934303,0.000008592295,0.0003978871],"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":[4.855177e-7,0.000006901027,0.0005605714,0.00001068051,0.00003532686,0.000009631351,0.0001165917,2.057458e-8,0.00007031782,0.0002493656,0.998171,0.0007691086],"study_design_scores_gemma":[0.00005944549,0.000003453638,0.0001221861,0.00006369056,0.0000298044,0.000004209392,0.00002183118,3.249838e-7,0.00004451601,0.00001779701,0.9993473,0.0002853955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001722563,0.009237559,2.946667e-7,0.0001387097,0.000551099,0.0001703773,0.0007964728,0.0003638853,0.9887244],"genre_scores_gemma":[0.0006547911,0.00001963823,0.0003013995,0.0001985653,0.001712001,0.000007617864,0.0002371292,0.002521512,0.9943473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1657134,"threshold_uncertainty_score":0.9764733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412083741270894,"score_gpt":0.2631514996758755,"score_spread":0.2490306622631665,"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."}}