{"id":"W4243067539","doi":"10.9707/1944-5660.1475","title":"Front Matter","year":2019,"lang":"en","type":"paratext","venue":"The Foundation Review","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Front (military); Political science; Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009985471,0.001253583,0.0008530091,0.001978222,0.001038829,0.00484612,0.001001787,0.004182147,0.7600849],"category_scores_gemma":[0.004755367,0.000453192,0.0005632828,0.001572822,0.0009300577,0.002155165,0.00198271,0.002658647,0.6924892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904536,"about_ca_system_score_gemma":0.003739383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004277114,"about_ca_topic_score_gemma":0.007757802,"domain_scores_codex":[0.9994282,0.00006793832,0.00002801975,0.00008386782,0.000284637,0.0001073772],"domain_scores_gemma":[0.9981138,0.0003305076,0.0001605735,0.0001320013,0.000694839,0.0005682924],"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":[0.0000239167,0.000009159437,0.00002523292,0.0001548687,0.000002640266,0.00001458523,0.00000480366,0.00001338685,0.00006338567,0.001789833,0.9364519,0.06144629],"study_design_scores_gemma":[0.00001195425,0.000007855938,0.0001025787,0.0001992589,0.000002415005,0.00001975806,0.00001038926,0.000009719474,0.00002408559,0.0005638268,0.9990459,0.000002339264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003012414,0.01555943,0.000342726,0.02467494,0.02606949,0.0001081256,0.003530047,0.000654298,0.9287598],"genre_scores_gemma":[0.001116132,0.006067123,0.0001682955,0.005844045,0.002698794,0.00004156946,0.000742404,0.000127906,0.9831938],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2399151,"threshold_uncertainty_score":0.3422097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956593509095811,"score_gpt":0.3376104690816067,"score_spread":0.2980445339906486,"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."}}