{"id":"W4405073198","doi":"10.46747/cfp.701112750","title":"A career shaped by fighting apartheid","year":2024,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Data science; Medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002665204,0.000481965,0.0006126019,0.0007386802,0.03327964,0.006190904,0.0008960454,0.005165488,0.03056874],"category_scores_gemma":[0.006892937,0.0003749488,0.0004718247,0.0008042495,0.01042377,0.007372383,0.01043758,0.0196039,0.006624414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004252083,"about_ca_system_score_gemma":0.01071464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02853786,"about_ca_topic_score_gemma":0.07289471,"domain_scores_codex":[0.9954138,0.001690083,0.00005680866,0.0002536855,0.0007273922,0.001858232],"domain_scores_gemma":[0.9917196,0.0004386173,0.0002831398,0.0001709415,0.0009242577,0.006463469],"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":[0.0000367574,0.00006517023,0.001698904,0.0000502426,0.00001090196,0.001062691,0.02973099,0.00003127316,0.0002723578,0.04710073,0.8951684,0.0247715],"study_design_scores_gemma":[0.000007016566,0.00003820737,0.0009821318,0.0002371365,0.000003661189,0.001055491,0.03486015,0.0000278702,0.00004034383,0.007114142,0.9556096,0.00002431229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01729017,0.005823493,0.0007860351,0.818645,0.04361277,0.00003844163,0.0001242943,0.0001264028,0.1135534],"genre_scores_gemma":[0.1950599,0.007939192,0.001569317,0.5742848,0.009156127,0.00009602465,0.0001529508,0.0004673323,0.2112744],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03327964,"threshold_uncertainty_score":0.1022627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07999287404365653,"score_gpt":0.2621781191257941,"score_spread":0.1821852450821376,"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."}}