{"id":"W4239815464","doi":"10.7834/phoenix.73.3-4.fm","title":"Front Matter","year":2019,"lang":"en","type":"paratext","venue":"Phoenix","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Front (military); Physics; 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":[0.0005129033,0.002197832,0.0006684312,0.001819612,0.00176082,0.006072331,0.001031072,0.002875688,0.9570376],"category_scores_gemma":[0.001457042,0.0005738756,0.0005506891,0.001270432,0.0009501089,0.002592863,0.002530225,0.001653709,0.9311109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151428,"about_ca_system_score_gemma":0.001492202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003502092,"about_ca_topic_score_gemma":0.004977648,"domain_scores_codex":[0.999663,0.00003267025,0.00001462255,0.0001036382,0.0001035769,0.00008254265],"domain_scores_gemma":[0.9992085,0.0001225153,0.00004134904,0.00006582223,0.0002068533,0.0003549088],"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":[0.00007694127,0.00007107155,0.0002022197,0.0001370537,0.000005500079,0.0001017932,0.00003402709,0.0001156315,0.0005137821,0.00467914,0.8393802,0.1546826],"study_design_scores_gemma":[0.00002002194,0.00001927692,0.0002709052,0.0001291497,0.000002931869,0.00008022161,0.00006711312,0.0001034951,0.0002072903,0.001168615,0.9979249,0.000006132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003920576,0.000253088,0.0003854817,0.001052135,0.001260113,0.00004448279,0.002097924,0.0007118869,0.9938028],"genre_scores_gemma":[0.00069777,0.0001451417,0.0001657069,0.000208362,0.00009508021,0.00001054782,0.0004700467,0.0001326951,0.9980747],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04296237,"threshold_uncertainty_score":0.06128061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684946109793954,"score_gpt":0.2681963190353125,"score_spread":0.251346857937373,"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."}}