{"id":"W1981352755","doi":"10.14430/arctic4160","title":"Index to Volume 64","year":2011,"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); Physical geography; Geography; Computer science; Physics; World Wide Web; Thermodynamics","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":[0.0002067989,0.00007050287,0.0001629708,0.0001211225,0.00007080886,0.0000260856,0.0001702575,0.0000260112,0.02185521],"category_scores_gemma":[0.00005713456,0.00008292164,0.00005437541,0.0001244764,0.00004169422,0.0001207545,0.00009652921,0.00004238685,0.1342117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004808179,"about_ca_system_score_gemma":0.000004342067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077683,"about_ca_topic_score_gemma":0.00003733908,"domain_scores_codex":[0.9992759,0.000002248389,0.0002130828,0.0002820067,0.0000123795,0.0002143924],"domain_scores_gemma":[0.999602,0.00000684279,0.0000648135,0.0002326161,0.0000131891,0.00008051395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001691784,0.00008934966,0.6992949,0.00001301401,0.00008987639,0.000005470024,0.005446067,0.00002124199,0.000001816399,0.1594024,0.134607,0.001011975],"study_design_scores_gemma":[0.0002608387,0.00004972294,0.3558689,0.00000662825,0.000004222279,0.000002017547,0.0004235341,0.0003378165,0.00001383214,0.02251275,0.6202583,0.0002614386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1127578,0.0001842911,0.000435162,0.0002460933,0.002247975,0.0001188655,0.00006304719,0.0000406568,0.8839061],"genre_scores_gemma":[0.8357871,0.00001173955,0.0004320384,0.0004929086,0.00003968213,0.000009286683,8.589559e-7,0.000007287778,0.1632191],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7230293,"threshold_uncertainty_score":0.979039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07056436805882817,"score_gpt":0.190545128392423,"score_spread":0.1199807603335949,"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."}}