{"id":"W2480498607","doi":"10.2495/safe-v6-n2-150-160","title":"Vulnerability of agricultural areas to climatic risk and effectiveness of risk management policy scheme in Italy","year":2016,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Risk management; Agriculture; Risk assessment; Environmental planning; Risk analysis (engineering); Scheme (mathematics); Business; Environmental health; Environmental resource management; Environmental science; Geography; Medicine; Computer science; Computer security","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":[0.002229291,0.0001771078,0.0002863759,0.001364563,0.0003169212,0.001445446,0.0005513931,0.0005006364,0.002144936],"category_scores_gemma":[0.006515739,0.0001200989,0.000402113,0.001357231,0.001001266,0.0008332851,0.001550796,0.0003452815,0.0002071131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143515,"about_ca_system_score_gemma":0.0008741432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006539438,"about_ca_topic_score_gemma":0.005921251,"domain_scores_codex":[0.9978759,0.001040818,0.00009251868,0.0002230239,0.0003003775,0.0004673414],"domain_scores_gemma":[0.9953583,0.001728746,0.001634952,0.0004790147,0.0003848383,0.0004142211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001278712,0.0004245913,0.8442224,0.0002516162,0.0003232117,0.00173321,0.00489424,0.0477262,0.003864862,0.01879276,0.003040873,0.07344726],"study_design_scores_gemma":[0.00002429098,0.0002455114,0.9789372,0.00005327716,0.00005604711,0.0003529984,0.001981194,0.01071098,0.0003233437,0.003560149,0.003726716,0.00002828317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896145,0.0003455764,0.0005587097,0.0006902513,0.000007216883,0.00002747939,0.0001741001,0.00001711335,0.008565031],"genre_scores_gemma":[0.9993029,0.0001282577,0.0001148948,0.00001876079,0.000007540352,0.000006875082,0.0000693548,0.0000024194,0.0003490661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006539438,"threshold_uncertainty_score":0.0155524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006716959238024988,"score_gpt":0.2311767301068373,"score_spread":0.2244597708688124,"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."}}