{"id":"W2802157387","doi":"10.1139/facets-2017-0111","title":"Diversity in geoscience: Participation, behaviour, and the division of scientific labour at a Canadian geoscience conference","year":2018,"lang":"en","type":"article","venue":"FACETS","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diversity (politics); Presentation (obstetrics); Inclusion (mineral); Democracy; Demographics; Discipline; Library science; Earth science; Geography; Political science; Sociology; Social science; Geology; Medicine; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001694566,0.0000524305,0.00008765859,0.00011775,0.003914031,0.0000965473,0.0003735991,0.00004118729,0.0002643132],"category_scores_gemma":[0.0002794791,0.00004209663,0.00001671718,0.0006070763,0.003135403,0.0002485533,0.0006404226,0.00004696656,0.00002184019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509529,"about_ca_system_score_gemma":0.0004432281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4814056,"about_ca_topic_score_gemma":0.9017634,"domain_scores_codex":[0.9988003,0.0001026316,0.0000975006,0.000220621,0.000471538,0.0003074312],"domain_scores_gemma":[0.9993702,0.00004992991,0.00005418606,0.0001188899,0.0002355971,0.0001712544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007331568,0.000008360987,0.9324417,0.0000012428,6.421221e-7,0.000001155346,0.06109351,2.401374e-7,0.00002159819,0.005769681,0.0002205465,0.0004340014],"study_design_scores_gemma":[0.0003132767,0.000009891445,0.9945427,0.000009943644,0.000003675428,1.468319e-7,0.002110667,0.00006357932,0.00008073025,0.0006816234,0.002121897,0.00006189122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958115,0.00001703407,0.00002611031,0.001018122,0.000340553,0.0001761495,0.00002280474,0.000008410061,0.002579275],"genre_scores_gemma":[0.9969102,0.000009652927,0.00004307507,0.00008149905,0.00000958662,0.000001773084,0.000001792072,8.938405e-7,0.00294152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4203578,"threshold_uncertainty_score":0.9995775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04981314823900864,"score_gpt":0.2946611994226387,"score_spread":0.24484805118363,"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."}}