{"id":"W2973915228","doi":"10.3968/11207","title":"Organic Connection between Small Farmers and Modern Agriculture in China: Obstacles and Solutions","year":2019,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; Productivity; Service (business); Agricultural productivity; Capital (architecture); China; Agricultural machinery; Socialization; Quality (philosophy); Production (economics); Service system; Agricultural development; Agricultural economics; Economic growth; Marketing; Economics; Political science; Geography","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":[0.001580676,0.0003002649,0.0003508076,0.001202668,0.003952658,0.003513741,0.001067658,0.001436179,0.008179868],"category_scores_gemma":[0.001657993,0.0002132107,0.0002639453,0.002030537,0.004942978,0.003166647,0.004129305,0.00139119,0.000185207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006864757,"about_ca_system_score_gemma":0.01429177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04190617,"about_ca_topic_score_gemma":0.0540702,"domain_scores_codex":[0.9986749,0.0002665739,0.00004595312,0.0001709793,0.0002754105,0.0005661111],"domain_scores_gemma":[0.9980318,0.0003386826,0.0004492927,0.00005901986,0.0002578634,0.0008634242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002286044,0.0004976753,0.3886766,0.001613729,0.0001573193,0.01085249,0.06280296,0.001521525,0.00287031,0.3022831,0.02811421,0.2003814],"study_design_scores_gemma":[0.00007526681,0.0003092687,0.3918064,0.001645455,0.0001346387,0.002166703,0.2244653,0.003514119,0.0009689788,0.1300163,0.2447258,0.0001715323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7830489,0.01407215,0.00239583,0.1551545,0.0007486836,0.0001006473,0.0001087261,0.00003894663,0.04433168],"genre_scores_gemma":[0.9871486,0.004990457,0.0003842497,0.002262284,0.0001737574,0.0000227424,0.00002834416,0.000004024062,0.004985496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04190617,"threshold_uncertainty_score":0.08332449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105148891480177,"score_gpt":0.2644305775696743,"score_spread":0.2433790886548725,"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."}}