{"id":"W4246480092","doi":"10.18192/potentia.v5i0.4401","title":"Front Matter","year":2014,"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":[0.0008875416,0.0005996419,0.0009703481,0.001395248,0.0000734834,0.0003206318,0.002187603,0.0003974856,0.2647663],"category_scores_gemma":[0.0001512526,0.0005126765,0.001096424,0.0001121457,0.0001448061,0.0004995748,0.0002638434,0.001418139,0.600021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006575775,"about_ca_system_score_gemma":0.0002753771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003272004,"about_ca_topic_score_gemma":0.000009317137,"domain_scores_codex":[0.9949858,0.0002213398,0.00178425,0.0003968006,0.00214826,0.0004636076],"domain_scores_gemma":[0.9935086,0.0001189,0.003632227,0.0003898756,0.00205285,0.00029752],"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":[0.0002478087,0.0001666245,0.0003063657,0.00004470476,0.001606879,0.0001002806,0.00007743618,0.001139942,0.0008823019,0.00005248109,0.9950098,0.0003653094],"study_design_scores_gemma":[0.001202319,0.000116344,0.001151575,0.0008126348,0.0002786313,0.001638343,0.0001432725,0.000182934,0.0005855624,0.000210869,0.9931335,0.000543949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008338381,0.003174613,0.009868073,0.002270429,0.03875905,0.0001925333,0.0007023226,0.00002266182,0.9441765],"genre_scores_gemma":[0.2392007,0.0006628183,0.004152521,0.0006363813,0.01175072,0.00001068095,0.0005750993,0.0004639747,0.742547],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3352547,"threshold_uncertainty_score":0.9997325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00826086813257095,"score_gpt":0.2541241315291832,"score_spread":0.2458632633966122,"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."}}