{"id":"W4251254412","doi":"10.1002/iir.1253","title":"Issue information ‐ TOC","year":2016,"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":[0.001009216,0.001256575,0.001547415,0.002933046,0.00123524,0.00667714,0.001973444,0.002102545,0.9578222],"category_scores_gemma":[0.00782769,0.0006111271,0.001147721,0.003313193,0.0004212732,0.002884886,0.001858344,0.002036962,0.9057096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308127,"about_ca_system_score_gemma":0.002276927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003735354,"about_ca_topic_score_gemma":0.006795201,"domain_scores_codex":[0.999036,0.0001001283,0.00006009769,0.0001273172,0.0004831217,0.000193274],"domain_scores_gemma":[0.9951004,0.0008886139,0.0002300105,0.000590947,0.00220624,0.0009838311],"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":[0.00003692793,0.00003795766,0.00004306215,0.0001791411,0.000003310958,0.00001310666,0.000006008501,0.00002439784,0.00007749598,0.0005547324,0.9792955,0.01972839],"study_design_scores_gemma":[0.00002405436,0.00002229582,0.0002986745,0.0001722149,0.000003388143,0.00001755409,0.0000189424,0.00004232044,0.0001351524,0.0003627633,0.9988978,0.00000489917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003819114,0.00137324,0.000646457,0.003908863,0.021956,0.0004254411,0.05369091,0.00259254,0.9150246],"genre_scores_gemma":[0.00161248,0.0009581532,0.0002258585,0.001209775,0.001706468,0.00009469844,0.01503462,0.0007225308,0.9784354],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0421778,"threshold_uncertainty_score":0.06016141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678860500035548,"score_gpt":0.2705108745521513,"score_spread":0.2237222695517959,"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."}}