{"id":"W7071217318","doi":"","title":"Security in Uncertainty: Analysis of Climate Risks and Household Response to Food Insecurity in Northern Ghana","year":2023,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; York University","keywords":"Food security; Vulnerability (computing); Food insecurity; Climate change; Food systems; Agriculture; Hazard; Sustainability; Food processing; Consumption (sociology)","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":[0.0008909816,0.0002182233,0.0002668071,0.0005647164,0.0008171432,0.001303935,0.0002730401,0.0004622615,0.002922337],"category_scores_gemma":[0.003994061,0.0001779417,0.0003238228,0.001440749,0.0008433697,0.00107883,0.001051227,0.0006651683,0.0001474281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002121457,"about_ca_system_score_gemma":0.0008666964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02921096,"about_ca_topic_score_gemma":0.03046215,"domain_scores_codex":[0.9994929,0.0002629493,0.00002174008,0.00004021858,0.00004319435,0.0001390401],"domain_scores_gemma":[0.9974003,0.001507572,0.0006851962,0.00006616081,0.0001440177,0.0001967982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002381221,0.0001446194,0.9183648,0.0001538344,0.0001166008,0.002305473,0.0532063,0.003877384,0.0006030619,0.003998021,0.001001209,0.01599047],"study_design_scores_gemma":[0.000008251592,0.0001210438,0.815684,0.0001207076,0.00003322922,0.0002487886,0.1744477,0.004880798,0.0001504717,0.001925286,0.002362363,0.00001727355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981334,0.0001471425,0.00018735,0.0003220263,0.000002485496,0.00001735384,0.00009539779,0.000001649905,0.001093255],"genre_scores_gemma":[0.9995709,0.0001096473,0.00007183219,0.00001674005,0.000002084705,0.00001422281,0.00003646985,7.48379e-7,0.0001774738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02921096,"threshold_uncertainty_score":0.05808187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409931161888323,"score_gpt":0.1962880320655057,"score_spread":0.1721887204466225,"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."}}