{"id":"W4312269106","doi":"10.18192/potentia.v7i0.4420","title":"Front Matter","year":2016,"lang":"en","type":"paratext","venue":"Potentia Journal of International Affairs","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa","keywords":"Front (military); Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.000535014,0.001210945,0.0005344052,0.0018524,0.001654684,0.006029543,0.0007669839,0.003242675,0.9265059],"category_scores_gemma":[0.002128412,0.0003424552,0.0004954847,0.001104528,0.001036854,0.002711048,0.002068562,0.001421063,0.8977705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008819737,"about_ca_system_score_gemma":0.001718708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002410921,"about_ca_topic_score_gemma":0.003556775,"domain_scores_codex":[0.9995818,0.00003207585,0.00002156755,0.0001082695,0.0001631298,0.00009316814],"domain_scores_gemma":[0.9985421,0.000241929,0.00008730777,0.0001110159,0.000433771,0.0005840262],"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":[0.00005667061,0.0000679254,0.0004402424,0.0001845585,0.000004545045,0.0001721571,0.00007755504,0.00005949999,0.000419308,0.006404449,0.8135999,0.1785132],"study_design_scores_gemma":[0.000009711684,0.00001392369,0.000452988,0.0001133051,0.000001891992,0.00009480025,0.0000765178,0.00003139116,0.0001204792,0.0006842057,0.9983974,0.00000334538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000675518,0.0005075269,0.0002088567,0.002336459,0.002356851,0.00004331127,0.001573883,0.0003639484,0.9919337],"genre_scores_gemma":[0.001110434,0.0002174767,0.0001113295,0.0003559874,0.0002077026,0.000009357585,0.0003047117,0.0000724747,0.9976106],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07349414,"threshold_uncertainty_score":0.1048304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008858160741457288,"score_gpt":0.2584726663332889,"score_spread":0.2496145055918316,"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."}}