{"id":"W6982432046","doi":"","title":"Index to LX – Series III, Vol. 16 (2019)","year":2019,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Index (typography); Volume (thermodynamics); Time series; Measure (data warehouse)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00102662,0.001581249,0.001162072,0.009117198,0.001594504,0.00872903,0.00177932,0.00131696,0.4588032],"category_scores_gemma":[0.005898088,0.0003360928,0.0004919033,0.01413114,0.0007632956,0.003650566,0.00193745,0.002505411,0.4724434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006104496,"about_ca_system_score_gemma":0.007687688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02970825,"about_ca_topic_score_gemma":0.02675708,"domain_scores_codex":[0.9986206,0.00006836523,0.0001430797,0.0002259186,0.0007593435,0.0001825858],"domain_scores_gemma":[0.9962578,0.0002192433,0.0003185013,0.0002997515,0.002160691,0.0007440559],"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":[0.00003672141,0.00001505272,0.0002398152,0.0001707081,0.000003542687,0.00001235618,0.00001032327,0.00006565649,0.0001249353,0.003784698,0.9748099,0.02072618],"study_design_scores_gemma":[0.000006716596,0.000008341563,0.001181239,0.0001393384,0.000002268669,0.00001588205,0.00001858541,0.00006776131,0.0000767288,0.001092078,0.9973863,0.000004786198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001776371,0.01946658,0.001245901,0.01280789,0.06671993,0.0003161413,0.1368792,0.001614453,0.7591736],"genre_scores_gemma":[0.003717952,0.009587467,0.0005008837,0.001196883,0.007913407,0.0001688559,0.04437379,0.0005897737,0.9319509],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4588032,"threshold_uncertainty_score":0.7719515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107902074567132,"score_gpt":0.1876561318090026,"score_spread":0.1665771110633313,"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."}}