{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007594923,0.0005938683,0.0009510503,0.001183084,0.0001756656,0.0006992102,0.003584016,0.000407217,0.2314511],"category_scores_gemma":[0.0002169678,0.0005096982,0.001150224,0.00004560427,0.0002184524,0.0009286711,0.0003871204,0.001485496,0.5397231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006770862,"about_ca_system_score_gemma":0.0004409119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005929964,"about_ca_topic_score_gemma":0.00001547884,"domain_scores_codex":[0.9953941,0.0001331473,0.00152035,0.0003995085,0.002092175,0.0004607301],"domain_scores_gemma":[0.9912899,0.00007153918,0.005547719,0.0006339641,0.002167654,0.0002892053],"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":[0.00028112,0.0001784143,0.000436077,0.00003722521,0.002002893,0.000319552,0.00008635386,0.0003387493,0.0007717996,0.00002571681,0.9949989,0.0005231925],"study_design_scores_gemma":[0.001256678,0.00008686196,0.002681631,0.001097801,0.0003024786,0.001968003,0.0001459997,0.00006455833,0.0005923458,0.0002118725,0.9910452,0.0005465187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005900037,0.004301456,0.001561347,0.002230865,0.04143932,0.0001769874,0.001148599,0.00001480865,0.9485366],"genre_scores_gemma":[0.1471128,0.001061339,0.002158623,0.0001931268,0.008312692,0.000008098368,0.0003926996,0.0003199556,0.8404406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.308272,"threshold_uncertainty_score":0.9997355,"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."}}