{"id":"W2067993392","doi":"10.14430/arctic191","title":"Index to Volume 62","year":2009,"lang":"en","type":"article","venue":"ARCTIC","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Volume (thermodynamics); Environmental science; Mathematics; Computer science; Thermodynamics; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001947221,0.00007216698,0.0001746905,0.0001224826,0.00008023992,0.00005461066,0.0001518072,0.00002578827,0.005761394],"category_scores_gemma":[0.00006752299,0.00008581619,0.00005632628,0.0001489445,0.00002326217,0.0001205368,0.00004034981,0.00004565591,0.07874057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006412646,"about_ca_system_score_gemma":0.000004308451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00017438,"about_ca_topic_score_gemma":0.00001068643,"domain_scores_codex":[0.9992629,0.000001998211,0.0002137375,0.0002843289,0.00001494371,0.0002220959],"domain_scores_gemma":[0.9996238,0.000008202325,0.00005915337,0.00021737,0.00001224013,0.00007923675],"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":[0.00002163066,0.0001409182,0.2397989,0.00001026499,0.00007285833,0.000007870449,0.002060689,0.0003994058,0.000009358595,0.2613302,0.4896327,0.006515106],"study_design_scores_gemma":[0.0002227563,0.00005751974,0.2635521,0.000005466703,0.00000234763,0.000001547038,0.000100694,0.0006110021,0.000004594558,0.02391802,0.7113339,0.0001900902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1480703,0.0004577283,0.0005505759,0.004720313,0.002383362,0.0001926419,0.00008155032,0.00007222847,0.8434713],"genre_scores_gemma":[0.8368291,0.00001466619,0.0001911565,0.001747029,0.00006379755,0.000003225999,0.000001365008,0.000004122219,0.1611456],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6887588,"threshold_uncertainty_score":0.9951475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823167124229943,"score_gpt":0.1997663401821628,"score_spread":0.1715346689398634,"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."}}