{"id":"W4390462897","doi":"10.29173/pathways54","title":"Front Matter","year":2023,"lang":"en","type":"paratext","venue":"Pathways","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":[0.0002629063,0.0005555987,0.0006466149,0.0003614956,0.00009913446,0.0001152302,0.0006248757,0.0005340217,0.2643359],"category_scores_gemma":[0.00003148879,0.0005354809,0.0002739624,0.0002347335,0.00006879475,0.00006763249,0.0003127914,0.0006930966,0.9994793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807181,"about_ca_system_score_gemma":0.0001846231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001634055,"about_ca_topic_score_gemma":0.00004243651,"domain_scores_codex":[0.9974092,0.000119455,0.0004097566,0.0007650118,0.0005458372,0.0007506952],"domain_scores_gemma":[0.9983652,0.00008454672,0.0002534962,0.00104432,0.00008275582,0.0001696385],"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":[0.00001155483,0.0000297525,0.00001869806,0.0001375929,0.00008173982,0.00005743335,0.0002394712,0.00003125206,0.001477964,0.00001669389,0.9977275,0.0001704215],"study_design_scores_gemma":[0.0002069034,0.00002038682,0.0004089203,0.0001988396,0.00004453919,0.00000781141,0.00003153903,0.00003193769,0.0007036824,0.0001481919,0.997561,0.0006361842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004430113,0.001062005,0.0000548465,0.00006282555,0.007882139,0.0004092827,0.009123827,0.0005312664,0.9804308],"genre_scores_gemma":[0.0008697492,0.00007362769,0.000149695,0.000406179,0.001958276,0.0002497917,0.003816675,0.0009841732,0.9914919],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7351434,"threshold_uncertainty_score":0.9997097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04605918002228388,"score_gpt":0.2672902585787989,"score_spread":0.221231078556515,"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."}}