{"id":"W4256067872","doi":"10.1002/iir.1322","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"International Insolvency Review","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001465306,0.001081322,0.001458023,0.003485583,0.001344826,0.005702551,0.001845785,0.00216004,0.9328846],"category_scores_gemma":[0.01081662,0.0004783096,0.0009252367,0.00314483,0.0003878747,0.003031101,0.001903985,0.001881217,0.8647799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323489,"about_ca_system_score_gemma":0.002577194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160159,"about_ca_topic_score_gemma":0.004347801,"domain_scores_codex":[0.9986242,0.000160225,0.0001117602,0.0001966359,0.0007190045,0.0001881041],"domain_scores_gemma":[0.9933968,0.0009586764,0.0002884803,0.0006720869,0.003357175,0.001326785],"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":[0.00002589009,0.00001601986,0.00003550063,0.0001469975,0.000001818562,0.00001190688,0.000006038005,0.00001413774,0.00005648324,0.0007411103,0.9792024,0.01974168],"study_design_scores_gemma":[0.00001275611,0.00001298186,0.0001733734,0.0001298244,0.000001873694,0.00002063807,0.00001532116,0.00002455065,0.00006016818,0.0004470378,0.9990981,0.00000340439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003264261,0.001545301,0.0008442273,0.00666821,0.02740993,0.0006022472,0.05979048,0.002214576,0.9005986],"genre_scores_gemma":[0.001236949,0.0009618797,0.0003516781,0.002012771,0.002628925,0.000175668,0.017291,0.0005843001,0.9747568],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06711537,"threshold_uncertainty_score":0.09573191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.047377917386224,"score_gpt":0.268077325975759,"score_spread":0.220699408589535,"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."}}