{"id":"W1910020066","doi":"10.1002/ird.1704","title":"ADVANCES AND CHALLENGES WITH MICRO‐IRRIGATION","year":2013,"lang":"en","type":"article","venue":"Irrigation and Drainage","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Irrigation; Environmental science; Agricultural engineering; Deficit irrigation; Cropping; Water conservation; Water scarcity; Agriculture; Business; Water resource management; Irrigation management; Engineering; Agronomy; Geography","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":[0.0001227246,0.00009654989,0.0000808051,0.00001199972,0.0001878676,0.0001613123,0.00004756732,0.00003567277,0.0001987409],"category_scores_gemma":[0.000008499112,0.0000362518,0.00001134033,0.00007662084,0.00006698496,0.0007587531,0.00003207423,0.000046204,0.00003432433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006089241,"about_ca_system_score_gemma":0.000001427217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000123772,"about_ca_topic_score_gemma":0.0001397742,"domain_scores_codex":[0.999397,0.0000401902,0.0001082682,0.0002165628,0.0001102995,0.0001276182],"domain_scores_gemma":[0.9997035,0.00006085345,0.00008177968,0.00003403902,0.00005132923,0.00006851169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001614156,0.00003584773,0.0004768372,0.00007310956,0.00001099233,0.000002147086,0.0005689064,0.000002081378,0.01074329,0.1286684,0.00006320665,0.859339],"study_design_scores_gemma":[0.000545513,0.0005272976,0.3681348,0.00006411262,0.00002944505,0.00002289203,0.004688657,0.0004281969,0.001695269,0.3844842,0.2389473,0.0004323476],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7370831,0.003652506,0.00004596741,0.03700023,0.00007228992,0.0006467655,0.000005373119,0.0001214104,0.2213723],"genre_scores_gemma":[0.9980234,0.0004122572,0.0004596769,0.0004935266,0.00005906621,0.00003933393,0.0000252282,9.568969e-7,0.0004865607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8589067,"threshold_uncertainty_score":0.2176074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909921645608605,"score_gpt":0.2032545816675763,"score_spread":0.1841553652114903,"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."}}