{"id":"W2258838787","doi":"10.4102/jamba.v8i2.182","title":"Climate change, household vulnerability and smart agriculture: The case of two South African provinces","year":2016,"lang":"en","type":"review","venue":"Jàmbá Journal of Disaster Risk Studies","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Vulnerability (computing); Climate change; Agriculture; Geography; Socioeconomics; Productivity; Natural resource economics; Business; Economic growth; Economics","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":[0.0009008513,0.0003912266,0.0006394568,0.001428323,0.00102087,0.001072179,0.0005666372,0.0008672369,0.001286258],"category_scores_gemma":[0.001698744,0.0001731323,0.0004199628,0.003436249,0.0005674855,0.0008529855,0.0007609041,0.0005990823,0.00008769856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002274924,"about_ca_system_score_gemma":0.004842072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06301325,"about_ca_topic_score_gemma":0.1095158,"domain_scores_codex":[0.9997335,0.0001127042,0.00002934709,0.00002125905,0.00004827286,0.00005493274],"domain_scores_gemma":[0.9994705,0.0002957997,0.0000954704,0.000008908002,0.00009337525,0.0000359185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002960976,0.0002519811,0.01221637,0.05881593,0.0005330687,0.009266553,0.02316539,0.001229026,0.0009823502,0.01265846,0.007904713,0.87268],"study_design_scores_gemma":[0.00009644574,0.000655184,0.1155779,0.05581156,0.001961967,0.009423103,0.0642377,0.0009934289,0.001647624,0.005498579,0.7439287,0.0001678446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03541052,0.9608758,0.0001119462,0.001462481,0.00007558207,0.00004128601,0.00002929309,0.000001350169,0.001991832],"genre_scores_gemma":[0.1106501,0.8880535,0.0002806301,0.0002044509,0.0000348814,0.00002468708,0.00002237845,6.663827e-7,0.000728706],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06301325,"threshold_uncertainty_score":0.125293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1520029511372279,"score_gpt":0.3455158168564897,"score_spread":0.1935128657192617,"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."}}