{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006091746,0.002039965,0.0006219833,0.001735171,0.002421936,0.007114173,0.0009637113,0.00434213,0.9589269],"category_scores_gemma":[0.002445542,0.0006522618,0.0006217338,0.001169217,0.001251248,0.00336898,0.003046166,0.002106857,0.9348333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257033,"about_ca_system_score_gemma":0.00217558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004967819,"about_ca_topic_score_gemma":0.007882428,"domain_scores_codex":[0.9995881,0.00004379404,0.00001522463,0.0001180956,0.0001289525,0.0001058279],"domain_scores_gemma":[0.9985947,0.000273214,0.00005817544,0.00009803769,0.0003536866,0.0006221465],"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":[0.00005565223,0.00005805113,0.0002399397,0.0001012039,0.000004507188,0.000114783,0.00007185997,0.00006961168,0.0003020533,0.009882641,0.8817132,0.1073864],"study_design_scores_gemma":[0.00002158717,0.00001996474,0.000257956,0.0001512639,0.000003417108,0.0001008408,0.0001163495,0.00007712673,0.0001249721,0.002517388,0.9966019,0.000007259367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003249297,0.0001307599,0.0003266563,0.001495616,0.0009777065,0.00003686959,0.001490362,0.0006110841,0.9946061],"genre_scores_gemma":[0.0008691967,0.0001014931,0.0001680583,0.0003440866,0.00008298972,0.00001525243,0.000315366,0.0001722259,0.9979314],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04107314,"threshold_uncertainty_score":0.05858588,"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."}}