{"id":"W2035612181","doi":"10.1016/j.agwat.2007.01.006","title":"Econometric analysis of the determinants of adoption of rainwater harvesting and supplementary irrigation technology (RHSIT) in the semiarid Loess Plateau of China","year":2007,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rainwater harvesting; Irrigation; Agricultural economics; Agriculture; Econometric model; Business; Survey data collection; Logistic regression; Agricultural science; Economics; Geography; Environmental science; Mathematics; Econometrics; Statistics","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":[0.001313527,0.0002519466,0.0003446635,0.0008686565,0.0004702702,0.001070964,0.0005626471,0.0004739521,0.002225041],"category_scores_gemma":[0.002733266,0.0002405231,0.0007783644,0.001670185,0.0007680822,0.0005126144,0.0005522178,0.0006258747,0.0001378172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002604383,"about_ca_system_score_gemma":0.002811363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1863226,"about_ca_topic_score_gemma":0.1860563,"domain_scores_codex":[0.999319,0.0002368865,0.00004491654,0.0000867998,0.00007946594,0.0002329576],"domain_scores_gemma":[0.9950066,0.002906934,0.001008024,0.0001844369,0.0003713983,0.0005226887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001158234,0.0001815018,0.9912245,0.00001327592,0.00009637383,0.0002649233,0.0004881656,0.003595961,0.0007470813,0.0005783208,0.0001108544,0.00258325],"study_design_scores_gemma":[0.00001261849,0.0000662822,0.9861593,0.000004576246,0.00005345117,0.00001766552,0.001175273,0.01210848,0.0001292636,0.0001091637,0.0001563766,0.000007643033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996423,0.00001944146,0.00005849485,0.00004145189,4.494603e-7,0.000004187922,0.00006028092,0.000001903974,0.0001714485],"genre_scores_gemma":[0.999598,0.00001860651,0.00002684435,0.000005903223,0.000001460766,0.000002962749,0.0001109073,5.002969e-7,0.000234874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1863226,"threshold_uncertainty_score":0.3704761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389650372118077,"score_gpt":0.2303474713688093,"score_spread":0.2164509676476285,"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."}}