{"id":"W4386413255","doi":"10.1016/j.heliyon.2023.e19662","title":"Flash flooding considerations aside: Knowledge brokering by the extension and advisory services to adapt a farming system to flash flooding","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Australian National University; Australian Government","keywords":"Flash flood; Flooding (psychology); Agriculture; Livelihood; Information needs; Business; Agricultural extension; Climate change; Adaptation (eye); Information system; Environmental resource management; Computer science; Environmental planning; Geography; Engineering; Flood myth; Environmental science; Ecology; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004279112,0.0001870076,0.0001715233,0.000644141,0.003412262,0.00489409,0.0006818778,0.001390124,0.008069046],"category_scores_gemma":[0.01273454,0.0001720502,0.0001978029,0.001074745,0.001734727,0.005226399,0.003654118,0.001165557,0.0004222131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210962,"about_ca_system_score_gemma":0.006535687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140763,"about_ca_topic_score_gemma":0.01607863,"domain_scores_codex":[0.9961515,0.002455848,0.0001477341,0.0002170073,0.0003135715,0.0007142726],"domain_scores_gemma":[0.9917589,0.004254709,0.0009384041,0.00041784,0.00086434,0.001765822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003715901,0.001196393,0.207165,0.0006535639,0.0001029211,0.005032495,0.375509,0.001513879,0.005068742,0.04504833,0.01864488,0.3396932],"study_design_scores_gemma":[0.00008017732,0.0003872568,0.07672602,0.0004731631,0.0000638217,0.0006679039,0.7654516,0.00280207,0.0009408073,0.0250878,0.1272566,0.00006277042],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8606352,0.0005849073,0.005675976,0.03571631,0.000110234,0.0003019199,0.0000969391,0.00006740266,0.09681104],"genre_scores_gemma":[0.9943401,0.0002696323,0.00160463,0.0007384833,0.00001598168,0.00003393214,0.00002036733,0.000003676065,0.002973209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140763,"threshold_uncertainty_score":0.02699363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108115688616114,"score_gpt":0.2393130361653117,"score_spread":0.2182318792791505,"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."}}