{"id":"W2185398482","doi":"","title":"Analysis of the Action Mechanism of Agricultural Modernization Drived by Science and Technology-Oriented Poverty Alleviation Project in Poor Areas in China","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modernization theory; Poverty; China; Agriculture; Meaning (existential); Poverty reduction; Action (physics); Process (computing); Economic growth; Mechanism (biology); Political science; Development economics; Economics; Geography; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004833747,0.0001423803,0.0001999732,0.001454069,0.001266086,0.0007835933,0.0004061839,0.0003103639,0.002407282],"category_scores_gemma":[0.0008145351,0.0001384165,0.0003569967,0.001279286,0.0007292579,0.0005055609,0.0009923606,0.0002857353,0.00006238798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003410913,"about_ca_system_score_gemma":0.004336788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09750005,"about_ca_topic_score_gemma":0.1363215,"domain_scores_codex":[0.9995844,0.0000742495,0.00002361034,0.00004556723,0.00008219925,0.0001899589],"domain_scores_gemma":[0.999548,0.00007805778,0.0001388807,0.00001600141,0.00009654838,0.0001224478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006986803,0.0001257842,0.95731,0.00009818902,0.00008955632,0.000869654,0.009564343,0.001725656,0.001749145,0.0105363,0.0008168989,0.01704468],"study_design_scores_gemma":[0.000004576272,0.00003050404,0.987843,0.00001759032,0.00003153471,0.00005217668,0.008491506,0.001908591,0.0001668952,0.000667562,0.0007781135,0.000007750114],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978517,0.00005172295,0.00008768708,0.0002238848,0.000001310304,0.00001249693,0.00003831178,0.000002802964,0.001730031],"genre_scores_gemma":[0.9994635,0.00006117992,0.00004732111,0.000009221912,9.144254e-7,0.000004697661,0.00001896068,4.338236e-7,0.0003938234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09750005,"threshold_uncertainty_score":0.1938651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792725697606652,"score_gpt":0.2368928444794067,"score_spread":0.2189655875033402,"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."}}