{"id":"W2165611872","doi":"10.1111/imig.12097","title":"Linking Food Security, Migration and Development","year":2013,"lang":"en","type":"article","venue":"International Migration","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs","funders":"United States Agency for International Development","keywords":"Food security; Conversation; Food insecurity; Political science; Economic growth; Agriculture; Development economics; Sociology; Economics; Geography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002565645,0.0001148588,0.000109534,0.0001710343,0.0006788418,0.00004977593,0.0001156379,0.0001607457,0.0009261979],"category_scores_gemma":[0.00009964001,0.0001144648,0.00002235145,0.00008547351,0.00002703583,0.0005406662,0.00008698997,0.0002978816,0.0008639253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715868,"about_ca_system_score_gemma":0.0001332701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009822552,"about_ca_topic_score_gemma":0.0147467,"domain_scores_codex":[0.9986479,0.0001070433,0.0005083479,0.0002171103,0.0002931708,0.0002264513],"domain_scores_gemma":[0.9990754,0.0001464558,0.0001965845,0.0001037917,0.0003789574,0.00009885957],"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":[0.00004698919,0.000161296,0.8262978,0.0002436991,0.0001016213,0.000001100302,0.05925225,0.00004574852,0.00055811,0.07903536,0.01784228,0.01641376],"study_design_scores_gemma":[0.00114543,0.0001610201,0.4681867,0.0003551686,0.00001403673,0.000004556042,0.0050671,0.01095263,0.0002537073,0.03014095,0.4833387,0.0003799189],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826816,0.00009330908,0.001087697,0.009663132,0.001086148,0.0007066242,0.00001722352,0.0001084678,0.004555834],"genre_scores_gemma":[0.9944868,0.00007595002,0.002593377,0.001245433,0.0004059473,0.0002848833,0.0003559625,0.00001189341,0.0005397619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4654965,"threshold_uncertainty_score":0.9999871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213792190412944,"score_gpt":0.4115612304998783,"score_spread":0.290182011458584,"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."}}