{"id":"W2904791929","doi":"10.14430/arctic4765","title":"Index to Volume 71","year":2018,"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; 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":[0.0002306644,0.00006891001,0.0001577169,0.0001200732,0.0001162948,0.00005287986,0.0001642173,0.00002593488,0.01684886],"category_scores_gemma":[0.00009120764,0.0000809733,0.0000462452,0.0001593508,0.00009239893,0.0001117463,0.0001074192,0.00003648976,0.2405904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006095403,"about_ca_system_score_gemma":0.000005333008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004730098,"about_ca_topic_score_gemma":0.00005952595,"domain_scores_codex":[0.9992477,0.000002274421,0.0002047392,0.0003032887,0.00001456845,0.000227393],"domain_scores_gemma":[0.9995847,0.00001005579,0.00006116205,0.0002422081,0.00002460655,0.00007724272],"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":[0.00001667885,0.00005619737,0.3718384,0.00001107951,0.0000853069,0.00000235653,0.00239065,0.00002787271,0.000005783376,0.1020911,0.5217849,0.001689727],"study_design_scores_gemma":[0.0001617172,0.00004915457,0.08553201,0.000004578712,0.000001953641,0.000001082898,0.0001434403,0.0006089169,0.000009968627,0.007731936,0.9056103,0.0001448927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1816681,0.0001696446,0.0008567082,0.001369825,0.004474477,0.0001481237,0.00009241784,0.00005336718,0.8111673],"genre_scores_gemma":[0.7911761,0.000006692615,0.0002351308,0.0008654663,0.0001770775,0.000006124382,9.629355e-7,0.000006731805,0.2075257],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.609508,"threshold_uncertainty_score":0.9840499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03484583032910508,"score_gpt":0.2071451642935691,"score_spread":0.172299333964464,"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."}}