{"id":"W1947926440","doi":"10.5539/jas.v7n10p101","title":"“Live Tilapia”: Diversifying Livelihoods for Rural Communities in México","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livelihood; Business; Aquaculture; Consumption (sociology); Population; Tilapia; Socioeconomic status; Natural resource economics; Economic growth; Agricultural economics; Fish <Actinopterygii>; Fishery; Geography; Economics; Agriculture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004675403,0.0001157932,0.0000916775,0.0003797151,0.001808349,0.0009359483,0.0002401482,0.0002737989,0.001648882],"category_scores_gemma":[0.0005257213,0.00005001368,0.00007705508,0.000389565,0.0006038555,0.0004884041,0.001132189,0.0002154721,0.00005613521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401622,"about_ca_system_score_gemma":0.001582347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01200845,"about_ca_topic_score_gemma":0.04376646,"domain_scores_codex":[0.9998162,0.00006470762,0.000004279746,0.00002208714,0.0000261984,0.00006653525],"domain_scores_gemma":[0.9997725,0.00004637346,0.00007556033,0.00001025356,0.00002825775,0.00006713299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003747489,0.00116657,0.6217522,0.0005108429,0.00004532562,0.006190565,0.08803073,0.0008636789,0.01146576,0.02034939,0.003358174,0.2458921],"study_design_scores_gemma":[0.00004869615,0.001036537,0.700026,0.0002243283,0.00005706638,0.00109405,0.2287867,0.001254176,0.00135891,0.001719694,0.06437606,0.00001764287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958168,0.0001094397,0.00007655715,0.0002976503,0.000002119762,0.0000137858,0.00001155771,0.000001746937,0.003670387],"genre_scores_gemma":[0.9983813,0.0002401531,0.0002666613,0.00002131827,0.00000232362,0.00001145578,0.00001273562,5.47065e-7,0.001063445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01200845,"threshold_uncertainty_score":0.02387714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04576800544781854,"score_gpt":0.2587769477576055,"score_spread":0.213008942309787,"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."}}