{"id":"W2731330989","doi":"10.4236/as.2017.87041","title":"Validating the Classification of Smallholder Dairy Farming Systems Based on Herd Genetic Structure and Access to Breeding Services","year":2017,"lang":"en","type":"article","venue":"Agricultural Sciences","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Livestock Research Institute; Global Affairs Canada","keywords":"Herd; Crossbreed; Agricultural science; Multinomial logistic regression; Agriculture; Logistic regression; Psychological intervention; Dairy farming; Odds; Geography; Business; Biology; Statistics; Mathematics; Animal science; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003001372,0.0002999813,0.0002296085,0.001243736,0.0005096027,0.0009056346,0.0004174722,0.0002646196,0.001415462],"category_scores_gemma":[0.007248235,0.0000996399,0.0002275427,0.0009593903,0.0005480635,0.0007047639,0.0007397238,0.0002194262,0.0002967856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004115255,"about_ca_system_score_gemma":0.0004749041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004152608,"about_ca_topic_score_gemma":0.007924341,"domain_scores_codex":[0.998316,0.0009252662,0.0001352652,0.0002340508,0.0001908015,0.0001985187],"domain_scores_gemma":[0.9943438,0.002583686,0.001569329,0.0004212314,0.0007087141,0.0003733033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006972798,0.00003469336,0.9918609,0.00001469488,0.00001704895,0.00003265075,0.0004386143,0.0002306242,0.0006653049,0.00007099564,0.00005988435,0.006504801],"study_design_scores_gemma":[0.000006090885,0.000182106,0.9945727,0.00002332611,0.0000116086,0.0000721713,0.001893546,0.002263127,0.0004603949,0.0002248939,0.0002852689,0.000004859394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989048,0.00002447489,0.0005577687,0.0000199587,0.000002129659,0.00002541321,0.00008951451,0.000002372886,0.0003735291],"genre_scores_gemma":[0.9986778,0.00001274982,0.001089514,0.000008353017,0.000001513915,0.00001303369,0.0001136361,9.6355e-7,0.00008235293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004152608,"threshold_uncertainty_score":0.01587301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03420662397751369,"score_gpt":0.2661433638344637,"score_spread":0.23193673985695,"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."}}