{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007302274,0.002277144,0.002088688,0.01075765,0.003451658,0.009462877,0.001837507,0.001997833,0.8012648],"category_scores_gemma":[0.004667122,0.0006253035,0.0009307261,0.009010324,0.001010737,0.003365917,0.00370163,0.001822753,0.7996291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002301726,"about_ca_system_score_gemma":0.003006568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009585123,"about_ca_topic_score_gemma":0.01762253,"domain_scores_codex":[0.999014,0.0001091851,0.00005787746,0.0001587748,0.0005312773,0.0001288518],"domain_scores_gemma":[0.9971452,0.0004305282,0.0001487866,0.0002579672,0.001211126,0.0008062896],"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":[0.00001664251,0.00002217741,0.00009655263,0.0001155313,0.000002526076,0.00001473002,0.00001611533,0.00003377919,0.00006395021,0.001215509,0.9721068,0.02629569],"study_design_scores_gemma":[0.000004899369,0.000008148218,0.000290304,0.0001372134,0.00000256923,0.00001825263,0.0000313779,0.00004011259,0.00003951048,0.0008026903,0.9986202,0.000004613254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003047072,0.004065235,0.0004237708,0.002383297,0.02046374,0.0001819863,0.004601341,0.0008390927,0.9667368],"genre_scores_gemma":[0.0005795818,0.001259341,0.0001070598,0.0005674444,0.002645567,0.00004098107,0.001138999,0.0002390834,0.9934219],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1987352,"threshold_uncertainty_score":0.2834716,"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."}}