{"id":"W4241838636","doi":"10.52537/humanimalia.9433","title":"Women and Cattle “Becoming-With” in Botswana","year":2020,"lang":"en","type":"article","venue":"Humanimalia","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Livelihood; Intersectionality; Ethnic group; Context (archaeology); Operationalization; Situated; Geography; Sociology; Gender studies; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005652014,0.00006064947,0.00008122859,0.00001389537,0.00004887865,0.0000140269,0.00007867734,0.00001848298,0.003730064],"category_scores_gemma":[0.000005278273,0.00005121528,0.000006131719,0.00006940483,0.00004686511,0.00008059063,0.0001012785,0.00005010416,0.000311011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003698253,"about_ca_system_score_gemma":0.000001501063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001063249,"about_ca_topic_score_gemma":0.0007823825,"domain_scores_codex":[0.9995207,0.00001386275,0.00006627451,0.0001740605,0.00005646641,0.0001686975],"domain_scores_gemma":[0.9998519,0.000008696823,0.00001890602,0.00005387883,6.653989e-7,0.00006588255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007820871,0.0000455334,0.9683509,0.00001894719,0.00001045731,0.00004040427,0.008820388,0.00003946798,0.0009960708,0.001471167,0.01846195,0.001666433],"study_design_scores_gemma":[0.0004296048,0.0002263092,0.9553417,0.00000140759,0.000002609134,0.000001010665,0.0004037968,0.000116623,0.0000178397,0.000279015,0.04309072,0.00008937682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725274,0.00002038752,0.00001760142,0.0007121707,0.0000136087,0.00009806082,4.09123e-7,0.0000181971,0.02659212],"genre_scores_gemma":[0.9981421,0.000004128438,0.0001606303,0.0005390581,0.00001981428,0.00002109175,6.870272e-7,0.000006002988,0.001106517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02561463,"threshold_uncertainty_score":0.9971806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226163313075334,"score_gpt":0.2092719685189074,"score_spread":0.187010335388154,"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."}}