{"id":"W2034578233","doi":"10.1007/s10460-013-9438-6","title":"Farmer innovation diffusion via network building: a case of winter greenhouse diffusion in China","year":2013,"lang":"en","type":"article","venue":"Agriculture and Human Values","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Natural Environment Research Council; Sight Research UK; International Development Research Centre","keywords":"Government (linguistics); Business; China; Innovation diffusion; Diffusion of innovations; Greenhouse gas; Process (computing); Greenhouse; Industrial organization; Intervention (counseling); Social network analysis; Marketing; Environmental economics; Knowledge management; Economic growth; Economics; Political science; Computer science; Social capital","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":[0.002987404,0.0002809453,0.0003244616,0.001750265,0.004507952,0.001888469,0.001300382,0.001837619,0.002788139],"category_scores_gemma":[0.004382045,0.0001941213,0.0004700222,0.00199874,0.003470084,0.002383952,0.002397186,0.0009437865,0.0001500858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006280806,"about_ca_system_score_gemma":0.002717463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05334289,"about_ca_topic_score_gemma":0.04419717,"domain_scores_codex":[0.9986967,0.0006428628,0.00004322696,0.0001434972,0.0001897063,0.0002839966],"domain_scores_gemma":[0.995111,0.002918345,0.0006699323,0.0003819084,0.0003583458,0.0005605012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006659122,0.001115437,0.3260109,0.000381551,0.0001877227,0.05783983,0.1892865,0.07632471,0.01218231,0.2439566,0.004086102,0.08796248],"study_design_scores_gemma":[0.0003995352,0.0009694506,0.2174092,0.0002843978,0.0002155495,0.004976457,0.2177792,0.3913375,0.006859195,0.100077,0.05937706,0.000315513],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883619,0.0000567096,0.002800429,0.0007582293,0.000004785719,0.00005884883,0.000030848,0.00002159811,0.007906713],"genre_scores_gemma":[0.9978933,0.00004655488,0.0009841124,0.00001988248,0.000002602786,0.00002166327,0.00001721253,0.00000256976,0.001012187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05334289,"threshold_uncertainty_score":0.1060648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655083046282416,"score_gpt":0.2475576300721326,"score_spread":0.2310067996093084,"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."}}