{"id":"W3190049744","doi":"10.46830/wriwp.20.00103","title":"A Blueprint for Digital Climate-Informed Advisory Services: Building the Resilience of 300 Million Small-Scale Producers by 2030","year":2021,"lang":"en","type":"article","venue":"","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Infrastructure and Water Management; Environment and Climate Change Canada; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Styrelsen för Internationellt Utvecklingssamarbete; Bill and Melinda Gates Foundation; Udenrigsministeriet; Foreign, Commonwealth and Development Office; Department for International Development","keywords":"Blueprint; Resilience (materials science); Key (lock); Scale (ratio); Investment (military); Business; Environmental economics; Environmental resource management; Environmental planning; Computer science; Engineering; Political science; Economics; Computer security; Environmental science; Geography","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":[0.007818636,0.0007553829,0.0002623551,0.001257321,0.00267729,0.005583451,0.001480252,0.004283121,0.02046881],"category_scores_gemma":[0.01888424,0.0003144293,0.0004339592,0.0009893624,0.002594505,0.007961024,0.006796042,0.004806259,0.004537596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003092431,"about_ca_system_score_gemma":0.0180709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005871748,"about_ca_topic_score_gemma":0.007967994,"domain_scores_codex":[0.9968369,0.001362532,0.0001162868,0.0002288512,0.0009252257,0.0005301847],"domain_scores_gemma":[0.9862508,0.00469313,0.0008108155,0.001314334,0.002978107,0.003953028],"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":[0.0002016885,0.0005420133,0.005586636,0.0006771579,0.00004509261,0.0006054839,0.003722907,0.008246372,0.006388248,0.1900838,0.3159451,0.4679554],"study_design_scores_gemma":[0.00005784565,0.0002680333,0.005332525,0.0007122792,0.00002317234,0.0002356249,0.006067934,0.003604631,0.002601843,0.1225082,0.8584934,0.0000944176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03761057,0.004287243,0.09803154,0.7028052,0.006205599,0.0006126608,0.001228672,0.003643672,0.1455748],"genre_scores_gemma":[0.6735786,0.008233879,0.1803033,0.0663164,0.00193219,0.0009379109,0.001273843,0.0004789398,0.06694492],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02046881,"threshold_uncertainty_score":0.06847495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372171826271623,"score_gpt":0.2468834345519134,"score_spread":0.2231617162891971,"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."}}