{"id":"W2890916426","doi":"10.1016/j.njas.2018.08.001","title":"Techne meets Metis: Knowledge and practices for tick control in Laikipia County, Kenya","year":2018,"lang":"en","type":"article","venue":"NJAS - Wageningen Journal of Life Sciences","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Techne; Context (archaeology); Stakeholder; Pastoralism; Livestock; Geography; Environmental resource management; Ecology; Public relations; Political science; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002435665,0.0001612009,0.0003873915,0.0003567705,0.0003862331,0.00007525224,0.0004037955,0.0001398953,0.0001633762],"category_scores_gemma":[0.002643219,0.0001218671,0.00008875719,0.0003341396,0.001103273,0.0005902635,0.00005761109,0.0002110608,0.00003999017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000415713,"about_ca_system_score_gemma":0.0004972708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000602031,"about_ca_topic_score_gemma":0.0002517831,"domain_scores_codex":[0.9984835,0.0002692624,0.0005209589,0.0002598521,0.0000969325,0.0003694766],"domain_scores_gemma":[0.9976563,0.0008122571,0.0009534256,0.0001126332,0.0003896012,0.00007573242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002207377,0.001254273,0.4980352,0.0001485207,0.001611732,0.00004917225,0.004498597,0.00003855672,0.4233339,0.003592946,0.03989985,0.0253299],"study_design_scores_gemma":[0.01585623,0.01276208,0.1844988,0.0005678674,0.001230002,0.001996845,0.003626183,0.0003823555,0.05029286,0.003002033,0.7245679,0.001216739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467849,0.04895596,0.0003617091,0.001215253,0.001295776,0.0002914202,0.00002375546,0.00002578976,0.001045454],"genre_scores_gemma":[0.9982883,0.0003363125,0.0006857425,0.0002567833,0.0002999335,0.00001037966,9.131323e-7,0.0000100756,0.0001115191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6846681,"threshold_uncertainty_score":0.4969595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096822061310021,"score_gpt":0.3326570226185687,"score_spread":0.3016888020054684,"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."}}