{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001284924,0.0005166416,0.0006695332,0.0002255501,0.00004161634,0.0001014368,0.0006215451,0.0004185684,0.618713],"category_scores_gemma":[0.000009696461,0.0004829911,0.0002452959,0.00009234725,0.00005337644,0.00009562,0.0002163644,0.0006716708,0.9992517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003043077,"about_ca_system_score_gemma":0.0001594562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002723502,"about_ca_topic_score_gemma":0.00001731175,"domain_scores_codex":[0.9978555,0.00009537618,0.0003286452,0.0006713322,0.0004417676,0.0006073513],"domain_scores_gemma":[0.9982919,0.00004464306,0.000269795,0.001190107,0.00008217391,0.0001214002],"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":[0.00003523722,0.00003681633,0.0001070959,0.0001251211,0.0001002163,0.00000526608,0.0002313286,0.00004095495,0.001368955,0.000001471974,0.9978192,0.0001283698],"study_design_scores_gemma":[0.0003411887,0.00001923209,0.0003214241,0.0001178488,0.00005391068,0.00001145546,0.000007063786,0.00001122443,0.001138112,0.00001185839,0.9973933,0.0005733978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001027687,0.00193578,0.00004906231,0.00008817223,0.009104291,0.0005078976,0.002198854,0.00008472236,0.9850035],"genre_scores_gemma":[0.007752181,0.00003534672,0.0001340344,0.00104128,0.001236779,0.00006795115,0.001681254,0.0005302204,0.9875209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3805388,"threshold_uncertainty_score":0.9997622,"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."}}