{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004604527,0.001302623,0.0004921854,0.001602001,0.002290568,0.005071816,0.0006868002,0.002147239,0.8558897],"category_scores_gemma":[0.001194215,0.0004208044,0.0003222834,0.001788659,0.001282186,0.002025515,0.002021571,0.001643625,0.7125546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153279,"about_ca_system_score_gemma":0.001295387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004918023,"about_ca_topic_score_gemma":0.008705452,"domain_scores_codex":[0.9996643,0.0000633013,0.00001690151,0.00007335171,0.0001000895,0.00008198761],"domain_scores_gemma":[0.999465,0.0001295455,0.00003405223,0.00006633117,0.0001666797,0.0001383375],"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":[0.0000891696,0.00005215969,0.0004208923,0.0002534246,0.000004987402,0.0001307905,0.0001314099,0.00004375171,0.0003339922,0.009597942,0.8781413,0.1108002],"study_design_scores_gemma":[0.000007533916,0.000008280197,0.0006526664,0.0001107593,0.000001965039,0.00006738442,0.0001753646,0.00002406371,0.0001027641,0.001075784,0.9977702,0.000003338322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009408461,0.001123267,0.0001609038,0.002788667,0.003014739,0.00003114173,0.002460768,0.0002028681,0.9892766],"genre_scores_gemma":[0.003105382,0.0008317567,0.0001735424,0.0003281262,0.000443901,0.00002144428,0.0008030837,0.0001078261,0.9941851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1441103,"threshold_uncertainty_score":0.2055558,"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."}}