{"id":"W2821584590","doi":"10.22215/cria.v5i0.1314","title":"Journal Credits &amp; Contributors","year":2018,"lang":"en","type":"article","venue":"Carleton Review of International Affairs","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Business; Information retrieval","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":[],"category_scores_codex":[0.002371077,0.001167315,0.001063889,0.00610519,0.002948196,0.01058824,0.001619168,0.003669225,0.4684786],"category_scores_gemma":[0.01703516,0.0004871176,0.0004404721,0.004337439,0.00104596,0.004619893,0.003011595,0.002988659,0.3725144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00319682,"about_ca_system_score_gemma":0.00595699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004636368,"about_ca_topic_score_gemma":0.009425567,"domain_scores_codex":[0.9972651,0.0002435516,0.0001064255,0.0003185917,0.001727675,0.0003386042],"domain_scores_gemma":[0.9766245,0.001389955,0.0009405985,0.001242218,0.01236332,0.007439455],"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":[0.00001018921,0.00001005815,0.00008960033,0.00003049672,8.01891e-7,0.000008823286,0.000006789337,0.000009010947,0.0000196432,0.0008914421,0.9862075,0.01271564],"study_design_scores_gemma":[0.000005958846,0.000004053888,0.0003590878,0.00005248715,0.00000135336,0.00001564614,0.00002751461,0.00003995907,0.00003274854,0.000734717,0.9987232,0.00000331156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001118839,0.01884606,0.0005969609,0.05795302,0.2674573,0.0002954819,0.004323833,0.0008863818,0.6485221],"genre_scores_gemma":[0.002805973,0.003282336,0.000144315,0.002319813,0.02690397,0.00005578891,0.0007925413,0.0002085812,0.9634866],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4684786,"threshold_uncertainty_score":0.7581507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237284610614295,"score_gpt":0.2536378375150677,"score_spread":0.2212649914089248,"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."}}