{"id":"W2350204246","doi":"","title":"Study on Indices and Development Model of Water Saving Irrigation","year":2003,"lang":"en","type":"article","venue":"Jieshui guan'gai","topic":"Research studies in Vietnam","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Irrigation; Water resource management; Loan; Water development; Agriculture; Water resources; Irrigation statistics; Agricultural development; Irrigation management; Process (computing); Water saving; Water conservation; Business; Environmental science; Farm water; Environmental planning; Agricultural economics; Economics; Geography; Computer science; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006181792,0.0001203679,0.000149555,0.00004314505,0.0002156809,0.00002155022,0.0001470021,0.00003310956,0.0002446914],"category_scores_gemma":[0.0000756581,0.00008293601,0.00001609037,0.00008753028,0.0001679525,0.0001506844,0.0002714875,0.0001045727,0.0001263877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358417,"about_ca_system_score_gemma":0.0000116869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002662037,"about_ca_topic_score_gemma":0.0000629915,"domain_scores_codex":[0.9986216,0.00007304001,0.0002263027,0.000274875,0.0005349253,0.0002692121],"domain_scores_gemma":[0.9996352,0.00003952458,0.00004905277,0.0002066293,0.000009983361,0.00005963261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006407247,0.001346986,0.827629,0.00009849158,0.0001792231,0.000018779,0.09062068,0.01531487,0.03827471,0.0006432032,0.001704237,0.02410576],"study_design_scores_gemma":[0.002327809,0.0009995247,0.8458987,0.0001043165,0.00004034247,0.000004213979,0.01675976,0.002544721,0.1174192,0.004358956,0.008648153,0.0008941951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741905,0.00002376567,0.0001323937,0.00005950188,0.00004413671,0.0003504537,0.000001137936,0.00001480492,0.02518328],"genre_scores_gemma":[0.9972174,0.00001425044,0.002160151,0.00006631903,0.000005927392,0.00004623186,0.000001490641,0.000009756044,0.0004784626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07914452,"threshold_uncertainty_score":0.3382032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458056089102101,"score_gpt":0.2962442605384008,"score_spread":0.2504386516281907,"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."}}