{"id":"W3206367792","doi":"10.1111/grow.12569","title":"Measuring the implementation effects of rural revitalization in China’s Jiangsu Province: Under the analytical framework of “deconstruction, assessment and brainstorming”","year":2021,"lang":"en","type":"article","venue":"Growth and Change","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"China; Brainstorming; Scale (ratio); Deconstruction (building); Geography; Rural area; Regional science; Index (typography); Economic growth; Disequilibrium; Political science; Business; Economics; Computer science; Cartography; Engineering; Marketing","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":[0.003741515,0.000320704,0.0001913191,0.002519616,0.0007056581,0.0009234063,0.0004460164,0.0001828395,0.0007253696],"category_scores_gemma":[0.005220205,0.0001143944,0.0002768855,0.002149023,0.0008114181,0.0009208013,0.001240675,0.0002813031,0.00004032211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273112,"about_ca_system_score_gemma":0.004336889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03216432,"about_ca_topic_score_gemma":0.04439884,"domain_scores_codex":[0.9976185,0.001172849,0.0001670709,0.0001892212,0.0006238582,0.0002284094],"domain_scores_gemma":[0.9963972,0.0009839161,0.0008064988,0.0002039946,0.001380526,0.0002278262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008702419,0.0001403053,0.8940096,0.0002167231,0.0001153143,0.00008137906,0.005999795,0.005040072,0.001272328,0.00327018,0.0005284454,0.08923889],"study_design_scores_gemma":[0.000007947796,0.0002019196,0.9770231,0.0000502514,0.00008463303,0.0000163479,0.008940623,0.0107581,0.0010171,0.0006594584,0.00122503,0.00001540074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955486,0.00005331247,0.001867219,0.00007403765,0.000003089345,0.00005085802,0.00004395832,0.00001330512,0.002345548],"genre_scores_gemma":[0.9988656,0.00003232679,0.0008138504,0.000006056469,0.000001330097,0.00003511226,0.00004492212,0.00000103287,0.0001998496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03216432,"threshold_uncertainty_score":0.06395417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166943481383446,"score_gpt":0.2618526535195492,"score_spread":0.2451583053812046,"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."}}