{"id":"W2922037033","doi":"10.1080/21632324.2019.1586342","title":"Interrogating the dimensions of human security within the context of migration and rural livelihoods in Honduras","year":2019,"lang":"en","type":"article","venue":"Migration and Development","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Ontario; University of Toronto; University of Waterloo","funders":"","keywords":"Livelihood; Context (archaeology); Human security; Geography; Political science; Economic geography; Development economics; Sociology; Economics; Social science; Agriculture; Archaeology","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":[0.000687778,0.00006332428,0.0001023449,0.00004384045,0.0002246717,0.00003173491,0.00006554527,0.0000432717,0.00002502301],"category_scores_gemma":[0.00006581948,0.00003554192,0.00001382726,0.0001416607,0.0001392164,0.00009466299,0.00002906156,0.00007917649,0.000001432484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002605206,"about_ca_system_score_gemma":0.0001001756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003444044,"about_ca_topic_score_gemma":0.5167391,"domain_scores_codex":[0.9992063,0.0001551983,0.0003001516,0.00008581066,0.0001765373,0.00007597605],"domain_scores_gemma":[0.9995563,0.00009353456,0.0001659034,0.0000704786,0.00008819663,0.00002556856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001030377,0.00003379564,0.1456865,0.00001589375,0.00001066744,8.618713e-8,0.8204522,0.00001239706,0.004033435,0.02778217,0.00008930947,0.001873298],"study_design_scores_gemma":[0.0006178761,0.00007669356,0.2068293,0.0001505595,0.00001005614,9.143928e-7,0.7780107,0.004440533,0.00409963,0.0008608261,0.004731364,0.0001715993],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976857,0.0001037052,0.00002588846,0.001598892,0.00005866566,0.0002880848,0.000001840116,0.000006973039,0.0002303005],"genre_scores_gemma":[0.9993452,0.00008641669,0.0001417925,0.0001848828,0.000008091913,0.000009392082,0.00001040153,0.0000025314,0.0002113063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5132951,"threshold_uncertainty_score":0.5206387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524046987668839,"score_gpt":0.2793013716742852,"score_spread":0.2640609017975968,"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."}}