{"id":"W2511592200","doi":"","title":"Diversity and inclusion at Gowlings","year":2016,"lang":"en","type":"article","venue":"The Lawyer","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cabinet (room); Diversity (politics); Prime minister; Inclusion (mineral); Political science; Gender studies; Sociology; Genealogy; Ethnology; Law; History; Politics","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":[0.001111922,0.0002246506,0.0002532319,0.001002175,0.03411803,0.007139486,0.001059458,0.001845468,0.06534027],"category_scores_gemma":[0.002135661,0.0002403312,0.0001971666,0.001224492,0.006525089,0.003069678,0.007599623,0.003417456,0.002506698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03316874,"about_ca_system_score_gemma":0.04470878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.844609,"about_ca_topic_score_gemma":0.9591988,"domain_scores_codex":[0.9980652,0.0002356474,0.00002202794,0.0001647054,0.0005749564,0.0009376091],"domain_scores_gemma":[0.9985352,0.0001368401,0.0000359972,0.00003898664,0.0002859483,0.0009671167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004316176,0.00006946434,0.006848994,0.0001021558,0.00001147475,0.001860231,0.08493266,0.000162258,0.0006536325,0.3056988,0.4535963,0.146021],"study_design_scores_gemma":[0.000003053315,0.000008827555,0.006222383,0.0001586131,0.000003480832,0.0001176166,0.03010794,0.00006171322,0.0001261807,0.007981271,0.9551918,0.00001706994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06846112,0.004808458,0.0007488523,0.07254004,0.001090651,0.00008040205,0.0003075141,0.000155609,0.8518074],"genre_scores_gemma":[0.2103689,0.0015949,0.0009206074,0.006081177,0.00009397765,0.0000515614,0.0001169186,0.0001517911,0.7806202],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.844609,"threshold_uncertainty_score":0.3126122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06023274602737381,"score_gpt":0.3169878425219679,"score_spread":0.256755096494594,"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."}}