{"id":"W4247807310","doi":"10.9707/1944-5660.1320","title":"Front Matter","year":2016,"lang":"en","type":"paratext","venue":"The Foundation Review","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"Grand Valley State University","keywords":"Front (military); Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001190118,0.0004091637,0.0007588524,0.00006638846,0.0001572394,0.0001066408,0.0008003999,0.0001269241,0.8519514],"category_scores_gemma":[0.0000759933,0.0001980371,0.0002787561,0.0001552731,0.0001352634,0.0001567594,0.0001365101,0.000300173,0.9986465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822749,"about_ca_system_score_gemma":0.0001667349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002155178,"about_ca_topic_score_gemma":0.000005365603,"domain_scores_codex":[0.9974509,0.0006957455,0.0006767466,0.0004042305,0.0004602446,0.0003121],"domain_scores_gemma":[0.9972863,0.0001247743,0.0008606715,0.001470433,0.0001973355,0.00006055358],"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":[0.000003203556,0.000008696229,9.84052e-7,0.003185684,0.00006135368,2.344085e-7,0.000007586881,1.277936e-7,0.00001150602,0.00005269472,0.9802878,0.01638013],"study_design_scores_gemma":[0.00009263431,0.00000690855,0.00002520064,0.01885288,0.0002764593,0.0000111845,4.755807e-7,3.961533e-7,0.000004669029,0.000114578,0.9803249,0.0002896817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[6.204611e-7,0.2888762,0.0004041131,0.007362725,0.001945386,0.00155935,0.0001855815,0.00004682455,0.6996192],"genre_scores_gemma":[0.000003062722,0.2118329,0.00004066039,0.007993909,0.0008286765,0.0003323863,0.001111656,0.0001536559,0.777703],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1466952,"threshold_uncertainty_score":0.8075718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860483292629938,"score_gpt":0.3391307635956631,"score_spread":0.3005259306693637,"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."}}