{"id":"W4205121789","doi":"10.2139/ssrn.4010301","title":"Gender, Credentials and M&A","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ontario Museum; Queen's University; University of Toronto","funders":"","keywords":"Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0010637,0.00009302112,0.0001604457,0.0009325285,0.002797983,0.004526489,0.0002986997,0.0009961905,0.1163901],"category_scores_gemma":[0.008339816,0.00006247086,0.0001134585,0.00146783,0.001829236,0.001930924,0.001448477,0.00112521,0.006599881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000968973,"about_ca_system_score_gemma":0.001522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004324343,"about_ca_topic_score_gemma":0.007702091,"domain_scores_codex":[0.9993437,0.0002533682,0.00002374706,0.00004385764,0.0001429848,0.0001924029],"domain_scores_gemma":[0.9925229,0.003592736,0.0009854062,0.0001578065,0.0004488316,0.002292421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006376991,0.00168628,0.3224434,0.000197847,0.00003021383,0.0006366731,0.009031327,0.0005166671,0.0005781713,0.4256561,0.09181166,0.1467739],"study_design_scores_gemma":[0.00008208395,0.0003532399,0.5659757,0.0004188943,0.00003662373,0.0007149476,0.04771344,0.001253365,0.0009008923,0.1588555,0.2236423,0.00005298651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4559932,0.001959499,0.000849936,0.02570031,0.0003083329,0.00002903738,0.00101923,0.00004314789,0.5140974],"genre_scores_gemma":[0.960179,0.0003049446,0.00007742474,0.0003302583,0.0001114738,0.00001041956,0.00005530769,0.00001076358,0.03892028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1163901,"threshold_uncertainty_score":0.3893637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05265065690471055,"score_gpt":0.3459579436706605,"score_spread":0.2933072867659499,"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."}}