{"id":"W1988284514","doi":"10.5539/jas.v3n1p250","title":"Analysis on Influencing Factors of Farmers Involving in Rural Social Endowment Insurance","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Education Methods and Practices","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endowment policy; Endowment; Payment; China; Business; Rural area; Economic growth; Survey data collection; Socioeconomics; Demographic economics; Agricultural economics; Geography; Economics; Finance; Political science","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":[0.0007604876,0.000176936,0.0001590053,0.0005789588,0.0006242674,0.0004221908,0.0001929895,0.0002355197,0.001911822],"category_scores_gemma":[0.002708145,0.0001206114,0.0003497741,0.0008962926,0.0003208457,0.0002878809,0.0004044458,0.00029563,0.0001346299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004279348,"about_ca_system_score_gemma":0.0007257949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578203,"about_ca_topic_score_gemma":0.02321247,"domain_scores_codex":[0.999313,0.0002082248,0.00005572111,0.00009036464,0.0001271119,0.0002055496],"domain_scores_gemma":[0.9982431,0.0006561841,0.0005561559,0.000063379,0.0001845177,0.0002966156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001300456,0.00002900792,0.9977112,0.000003972889,0.000009094851,0.0001387863,0.0005568467,0.00006595825,0.0001146414,0.00003444875,0.00003617555,0.001286814],"study_design_scores_gemma":[0.000001441724,0.00004719113,0.9941503,0.0000054452,0.00001566352,0.0001084996,0.004824825,0.0004883903,0.00007299019,0.00003938021,0.0002421749,0.000003709216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996525,0.000020962,0.00005350814,0.00003919775,9.33966e-7,0.000004215542,0.00003634851,5.016701e-7,0.000191885],"genre_scores_gemma":[0.9997699,0.00002890598,0.00003446719,0.000005283769,0.000001102978,0.000002430426,0.00004116623,2.111632e-7,0.0001165218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578203,"threshold_uncertainty_score":0.03138036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07141034037966904,"score_gpt":0.3738110065930837,"score_spread":0.3024006662134147,"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."}}