{"id":"W4243799155","doi":"10.1109/raise.2019.00008","title":"RAISE 2019 Additional Reviewers","year":2019,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009496493,0.001489657,0.001687518,0.006821958,0.004220729,0.009606761,0.002567903,0.007183181,0.5373297],"category_scores_gemma":[0.1092426,0.0007826027,0.001253241,0.002371277,0.0008163389,0.003095693,0.005650982,0.005052179,0.362013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003136375,"about_ca_system_score_gemma":0.005233437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00301673,"about_ca_topic_score_gemma":0.01544803,"domain_scores_codex":[0.9878185,0.002123048,0.0008878655,0.001494261,0.006686062,0.0009903202],"domain_scores_gemma":[0.8738602,0.01000839,0.004514754,0.005784164,0.09193224,0.0139003],"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":[0.00001612489,0.000005053987,0.00005112013,0.00004620641,0.00000253402,0.00003128925,0.0000136076,0.00000511762,0.00003952341,0.0002139923,0.9945241,0.00505133],"study_design_scores_gemma":[0.00002010306,0.000006528586,0.0002311123,0.0001030435,0.000008338172,0.00005629708,0.00006874179,0.00004337628,0.00006659322,0.0005569434,0.9988291,0.000009931436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0006135581,0.003210268,0.001570452,0.1473065,0.6829645,0.0006250881,0.005727625,0.001797581,0.1561844],"genre_scores_gemma":[0.004029199,0.001277935,0.001402832,0.0430841,0.1196931,0.0005156287,0.003291168,0.001352215,0.8253539],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5373297,"threshold_uncertainty_score":0.659943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712856122086357,"score_gpt":0.1873648526407581,"score_spread":0.1602362914198946,"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."}}