{"id":"W7097478836","doi":"","title":"RECODE – Responding to Complex Diversity in Europe and Canada ONLINE WORKING PAPER SERIES","year":2014,"lang":"en","type":"article","venue":"","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Series (stratigraphy); Work (physics); Field (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.003472443,0.0002485008,0.0005796261,0.001481897,0.0154489,0.01132066,0.00156373,0.002428369,0.0195542],"category_scores_gemma":[0.01112528,0.0001935515,0.000389753,0.003349384,0.005302592,0.002479588,0.00587415,0.002086004,0.0006702215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05286077,"about_ca_system_score_gemma":0.1038322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9754642,"about_ca_topic_score_gemma":0.9868506,"domain_scores_codex":[0.9963475,0.0005051715,0.00005767295,0.0002501716,0.0009454585,0.001894],"domain_scores_gemma":[0.9915425,0.001258667,0.0003959838,0.0004063687,0.002721629,0.00367492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003847482,0.0002126896,0.1133622,0.0002425919,0.0001086454,0.0009334201,0.1580755,0.001577012,0.0006843103,0.1886314,0.406444,0.1293435],"study_design_scores_gemma":[0.00002987427,0.00003295966,0.1545428,0.0003445199,0.0000354937,0.00012642,0.2839378,0.0005481666,0.0004259458,0.0112085,0.548683,0.00008446231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6165617,0.004288364,0.0005971206,0.1015012,0.001104633,0.00006542441,0.002135145,0.00006004311,0.2736864],"genre_scores_gemma":[0.9243559,0.001242061,0.0003357337,0.005917479,0.0001473087,0.00002546037,0.0004284515,0.00006546653,0.06748207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05286077,"threshold_uncertainty_score":0.3835335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1710997046335906,"score_gpt":0.2906956084555387,"score_spread":0.119595903821948,"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."}}