{"id":"W2996841194","doi":"10.7282/t3wd42td","title":"The changing landscape of JIBS authorship","year":2016,"lang":"en","type":"preprint","venue":"View","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International business; China; Scope (computer science); Diversity (politics); Institution; Economics; Political science; Economic geography; Management; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002995222,0.0001722694,0.0003698286,0.008553457,0.001828534,0.005507607,0.0007326412,0.0006845196,0.00762055],"category_scores_gemma":[0.02322578,0.0002511389,0.0002812111,0.0104166,0.00215617,0.005598546,0.003544258,0.0006707576,0.001018902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127682,"about_ca_system_score_gemma":0.001172709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004495765,"about_ca_topic_score_gemma":0.008079288,"domain_scores_codex":[0.9964672,0.00106521,0.0004406937,0.0008332907,0.0006900229,0.0005035146],"domain_scores_gemma":[0.9549732,0.01456134,0.0162081,0.002872193,0.006581253,0.004803807],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001454165,0.00007087744,0.8477058,0.0002802132,0.00006815353,0.0009141605,0.05948501,0.0004006016,0.001667651,0.006201027,0.003077078,0.07998405],"study_design_scores_gemma":[0.000007909517,0.00007869959,0.892047,0.0002361347,0.00001924941,0.001450967,0.05746736,0.0003984688,0.0004437954,0.002948218,0.04484737,0.00005470391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842461,0.002145095,0.0008677511,0.002141146,0.00006970388,0.00001157962,0.0005523952,0.00003328161,0.009933059],"genre_scores_gemma":[0.9968441,0.0005801846,0.0004141826,0.00008792385,0.00008177167,0.000008479428,0.0002560447,0.00002010927,0.001707296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9970048,"threshold_uncertainty_score":0.02549326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995033233090783,"score_gpt":0.2477697905231335,"score_spread":0.2178194581922257,"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."}}