{"id":"W4312095594","doi":"10.1007/s11027-022-10040-7","title":"Attitudes and opportunities: comparing climate change adaptation intentions and decisions of agricultural producers in Shaanxi, China, and British Columbia, Canada","year":2022,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Research and Development Program of China; Shaanxi Normal University; Central South University; Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China","keywords":"Agriculture; Adaptation (eye); Psychological resilience; China; Government (linguistics); Normative; Climate change; Marketing; Variety (cybernetics); Business; Environmental resource management; Geography; Political science; Economics; Psychology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001006403,0.0002782476,0.0003190943,0.0009282919,0.003282382,0.0016522,0.000826909,0.000635091,0.002621242],"category_scores_gemma":[0.002506523,0.0002825875,0.0004541377,0.00215567,0.001407564,0.0005190124,0.00106903,0.001046043,0.00029485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01285134,"about_ca_system_score_gemma":0.01511597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852374,"about_ca_topic_score_gemma":0.9946265,"domain_scores_codex":[0.9992751,0.0001284289,0.00002740973,0.0000775847,0.000158282,0.0003331323],"domain_scores_gemma":[0.9969583,0.000567497,0.0003585412,0.00005990868,0.000873459,0.001182376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001659875,0.0001323192,0.9854338,0.00001287674,0.00003691548,0.00008211477,0.01013822,0.0001541001,0.000176135,0.0001099134,0.0005220002,0.003035452],"study_design_scores_gemma":[0.000007972099,0.00003898052,0.9687446,0.0000163747,0.00001345445,0.00001312792,0.03027738,0.0003682831,0.00004586668,0.00003256522,0.0004305814,0.00001061812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991598,0.00003698735,0.00001321295,0.00007395449,0.000002180021,0.000006338951,0.0001159217,7.050867e-7,0.000590939],"genre_scores_gemma":[0.9983176,0.00008301226,0.00003362857,0.0000547878,0.000001204964,0.00001102022,0.0002220424,0.000001464516,0.001275311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01476258,"threshold_uncertainty_score":0.09324348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371204518024187,"score_gpt":0.2713771374358179,"score_spread":0.1342566856333992,"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."}}