{"id":"W4255590076","doi":"10.9707/1944-5660.1381","title":"Front Matter","year":2017,"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; Business; 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":[0.000877136,0.001047712,0.0006998905,0.001822185,0.0009129951,0.004619189,0.0009566986,0.003175827,0.7478948],"category_scores_gemma":[0.005359464,0.0003497474,0.0004435319,0.001466246,0.001001667,0.00223522,0.002333554,0.002246518,0.6666152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539904,"about_ca_system_score_gemma":0.003768313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003520348,"about_ca_topic_score_gemma":0.006091202,"domain_scores_codex":[0.9995345,0.00006653116,0.00002582592,0.00007454029,0.0001953163,0.0001033454],"domain_scores_gemma":[0.9983019,0.0003014233,0.0001448886,0.0001226539,0.0006030689,0.0005260868],"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":[0.00002139849,0.000008211313,0.00005117229,0.0001696518,0.000002959881,0.00002021636,0.000009589174,0.00001520943,0.00005752258,0.002189863,0.9034734,0.09398087],"study_design_scores_gemma":[0.000008790471,0.000006857729,0.0001104924,0.0002498746,0.000002480561,0.0000346324,0.00001750793,0.0000100474,0.00002206138,0.0005744825,0.9989607,0.000002045124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005085724,0.02482512,0.0006763092,0.03181112,0.02611126,0.0001068922,0.004143846,0.0009604892,0.9108564],"genre_scores_gemma":[0.002080795,0.01025496,0.0003088325,0.006584648,0.003394509,0.00005552057,0.001030984,0.0001953601,0.9760944],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2521052,"threshold_uncertainty_score":0.3595975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06104778926610115,"score_gpt":0.3706678979670449,"score_spread":0.3096201087009437,"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."}}