{"id":"W2048164321","doi":"10.1080/10440040902773152","title":"Agriculture in Uttarakhand, India—Biodiversity, Nutrition, and Livelihoods","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Agriculture","topic":"Diverse scientific research topics","field":"Decision Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Livelihood; Agricultural biodiversity; Agriculture; Agroecosystem; Agroforestry; Sustainability; Animal husbandry; Geography; Population; Biodiversity; Food security; Food processing; Production (economics); Agricultural science; Business; Agricultural economics; Biology; Ecology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.003092713,0.00018095,0.0004137752,0.000713642,0.0002694529,0.0008755404,0.0009644446,0.0001995046,0.0001443671],"category_scores_gemma":[0.001923563,0.00009742977,0.0001642727,0.002496166,0.0001065178,0.001707968,0.0002063525,0.000624252,0.00004398397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001973833,"about_ca_system_score_gemma":0.0001377187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002823134,"about_ca_topic_score_gemma":0.000015396,"domain_scores_codex":[0.9962104,0.0002323128,0.0006764433,0.0003432733,0.00201802,0.0005195585],"domain_scores_gemma":[0.9960658,0.0001918634,0.0004837601,0.0002098266,0.002716383,0.0003323473],"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":[0.00009257631,0.0005763661,0.01833265,0.00003042681,0.00002492813,0.002636389,0.002824115,0.00009945832,0.00127793,0.004143583,0.9654213,0.004540332],"study_design_scores_gemma":[0.002009666,0.0004766057,0.4303244,0.00008160261,0.00002429325,0.0004071725,0.09080014,0.000005508493,0.0006689157,0.03250201,0.4424333,0.0002663627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683936,0.002681274,0.00007670216,0.0181582,0.0004019933,0.0006669316,0.00002291334,0.0000177895,0.009580623],"genre_scores_gemma":[0.9752718,0.0006402849,0.0007387055,0.0004952266,0.0003552675,0.000002106009,0.000005801423,0.000002867725,0.02248793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.522988,"threshold_uncertainty_score":0.8442857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302931337506441,"score_gpt":0.3145275934056164,"score_spread":0.2842344596549723,"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."}}