{"id":"W2925906646","doi":"10.1108/md-06-2018-0639","title":"Building sustainable circular agriculture in China: economic viability and entrepreneurship","year":2019,"lang":"en","type":"article","venue":"Management Decision","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Circular economy; Entrepreneurship; Government (linguistics); Context (archaeology); Incentive; Originality; Emerging markets; Business; Marketing; China; Sustainable development; Agriculture; Economics; Industrial organization; Qualitative research; Ecology; Sociology; Market economy; Finance; Political science","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":[0.002184976,0.0002543675,0.0002803227,0.001468991,0.00235677,0.002788703,0.0005444602,0.0004245826,0.002510298],"category_scores_gemma":[0.002121415,0.0001525562,0.0002265972,0.001867181,0.002305102,0.001826317,0.002426232,0.0003765655,0.000133703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003943121,"about_ca_system_score_gemma":0.008730639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445792,"about_ca_topic_score_gemma":0.02974276,"domain_scores_codex":[0.9991459,0.0002411102,0.00004901203,0.0001022136,0.0001641632,0.0002977683],"domain_scores_gemma":[0.9974793,0.0007015254,0.0006293404,0.0001574453,0.0004026407,0.0006298264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001708802,0.0005882079,0.7665626,0.0005827747,0.00008836847,0.003347605,0.01631552,0.004746735,0.00252524,0.04425884,0.002070845,0.1587424],"study_design_scores_gemma":[0.00003861065,0.0005487527,0.8697679,0.0005175595,0.0001085743,0.0004775568,0.06231751,0.01585228,0.002169926,0.02375922,0.02436185,0.00008012057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881222,0.0004213243,0.0009729611,0.0006228398,0.000008738939,0.00007013565,0.00004176584,0.000008530219,0.009731659],"genre_scores_gemma":[0.9985398,0.0002363028,0.0004300428,0.000029453,0.000002436979,0.00001458897,0.00002449931,9.862532e-7,0.0007219982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01445792,"threshold_uncertainty_score":0.0287475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00417360465523021,"score_gpt":0.2008884123282805,"score_spread":0.1967148076730503,"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."}}