{"id":"W4239924789","doi":"10.3138/anth.61.2.fm","title":"Front Matter","year":2019,"lang":"en","type":"paratext","venue":"Anthropologica","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Front (military); Geography; 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":[0.0001163582,0.0007025861,0.001042727,0.0002104654,0.0004181666,0.00009216838,0.0008715795,0.001093129,0.9119236],"category_scores_gemma":[0.00001741147,0.0005255613,0.000320596,0.0001326238,0.001220185,0.00009320801,0.0003955648,0.0008693069,0.9974151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375243,"about_ca_system_score_gemma":0.0001089678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003587681,"about_ca_topic_score_gemma":0.000009521877,"domain_scores_codex":[0.9970304,0.0002294561,0.0004568832,0.001035222,0.0003683709,0.0008796296],"domain_scores_gemma":[0.997973,0.0000972793,0.0004343899,0.001318523,0.00006056255,0.0001162527],"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":[0.00003979367,0.0001134178,0.0002727636,0.00006421437,0.0001157156,0.00002456684,0.00007331905,0.00001168172,0.0003627342,0.00005752961,0.9987552,0.0001090719],"study_design_scores_gemma":[0.0002547455,0.0001900405,0.0004710922,0.00008116617,0.0000543013,0.00002557869,0.0002752353,0.000004974937,0.0005183206,0.00006491427,0.9972968,0.0007628765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003795814,0.005766628,0.0001111325,0.001028,0.01189102,0.0006139748,0.001318737,0.0001629357,0.978728],"genre_scores_gemma":[0.01746229,0.00124252,0.000335926,0.001910322,0.001015167,0.00005908024,0.001438712,0.000286892,0.9762491],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08549146,"threshold_uncertainty_score":0.9997196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910332111805374,"score_gpt":0.3278445146643238,"score_spread":0.2987411935462701,"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."}}