{"id":"W2471819595","doi":"10.5281/zenodo.1124859","title":"Gender Differences In Research Output, Funding And Collaboration","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Political science; Business","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":[0.0100779,0.0002312263,0.000479002,0.00393827,0.001632273,0.003167565,0.0006268627,0.0003878035,0.007998234],"category_scores_gemma":[0.04503869,0.000136435,0.0003185205,0.006862091,0.001318701,0.001184951,0.00178989,0.0002718455,0.0009380459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003422712,"about_ca_system_score_gemma":0.01186628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1095964,"about_ca_topic_score_gemma":0.1425731,"domain_scores_codex":[0.9917394,0.001890903,0.0007238192,0.0005874905,0.00380444,0.001253991],"domain_scores_gemma":[0.9631403,0.01594064,0.006726759,0.001306879,0.008160834,0.004724514],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004995646,0.00009510928,0.8215668,0.0007515491,0.0001848132,0.0006921298,0.04976656,0.0003633166,0.001953513,0.01240503,0.005581605,0.10614],"study_design_scores_gemma":[0.00003047378,0.0001281585,0.9209197,0.0005699372,0.00009009799,0.0007258782,0.03565515,0.0002631007,0.0009397752,0.0036808,0.03695025,0.00004655751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206727,0.00691457,0.001193666,0.003518231,0.0001285206,0.00007398897,0.002720329,0.00004323979,0.06473485],"genre_scores_gemma":[0.9902333,0.002148699,0.0005341262,0.0001304925,0.00004371282,0.00003441556,0.0004243167,0.00002347949,0.00642761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9960617,"threshold_uncertainty_score":0.217917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3482475547042792,"score_gpt":0.4087296561967211,"score_spread":0.06048210149244193,"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."}}