{"id":"W4312252309","doi":"10.18192/potentia.v8i0.4428","title":"Front Matter","year":2017,"lang":"en","type":"paratext","venue":"Potentia Journal of International Affairs","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0005427604,0.001174695,0.0005374231,0.001932117,0.001789897,0.006446364,0.0007819366,0.003199372,0.9258403],"category_scores_gemma":[0.00228591,0.0003367025,0.0005026907,0.001166387,0.001104275,0.00274658,0.002166469,0.001477854,0.9038896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009580869,"about_ca_system_score_gemma":0.00209675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467146,"about_ca_topic_score_gemma":0.003585721,"domain_scores_codex":[0.9995438,0.00003578116,0.00002172764,0.0001102246,0.0001781828,0.000110333],"domain_scores_gemma":[0.9984378,0.00025638,0.0000861368,0.0001128654,0.0004996819,0.00060707],"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":[0.00004573488,0.00006181429,0.0004317186,0.0001576283,0.000004550167,0.0001565148,0.00007219507,0.00005409637,0.0003457355,0.007129804,0.8332458,0.1582944],"study_design_scores_gemma":[0.000008413135,0.00001165881,0.0004124592,0.0001137328,0.000002000213,0.00009257456,0.00008881903,0.00003518814,0.0001197883,0.0007865135,0.9983253,0.000003589012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006795265,0.0004972869,0.0002214109,0.002670136,0.002682192,0.00004236491,0.001518117,0.0003763264,0.9913127],"genre_scores_gemma":[0.001191135,0.0002560466,0.0001164024,0.000422335,0.0002506991,0.00001120113,0.0003576715,0.00009062851,0.9973037],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07415974,"threshold_uncertainty_score":0.1057798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339677951749558,"score_gpt":0.2821689527402808,"score_spread":0.2687721732227852,"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."}}