{"id":"W2066178601","doi":"10.1071/ea04152","title":"Capture of agricultural surplus water determines the productivity and scale of new low-rainfall woody crop industries","year":2005,"lang":"en","type":"article","venue":"Australian Journal of Experimental Agriculture","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Biomass (ecology); Environmental science; Productivity; Agroforestry; Agriculture; Irrigation; Water use; Agronomy; Geography; Economics","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":[0.0001964618,0.0002226631,0.0003220181,0.0000177016,0.0001258184,0.00005395917,0.0003064823,0.0001314445,0.0001878937],"category_scores_gemma":[0.0000131427,0.00005649305,0.0001511832,0.0002355575,0.0002215182,0.0003690841,0.0001030058,0.0002388871,0.000002072276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002851155,"about_ca_system_score_gemma":0.000009556328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002156005,"about_ca_topic_score_gemma":0.0002443211,"domain_scores_codex":[0.9986635,0.00007537859,0.0004877165,0.0002120251,0.0003198918,0.0002414787],"domain_scores_gemma":[0.9992173,0.0000153652,0.0003842569,0.00007153348,0.0001717094,0.0001397744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005317099,0.0002136275,0.00107973,0.00001014275,0.00005901578,0.000002092965,0.001639168,0.00004384456,0.9721805,0.00003799272,0.02086766,0.00381303],"study_design_scores_gemma":[0.0002768261,0.0003232363,0.0895522,0.00004510858,0.00003715221,0.0001660277,0.005889104,1.254643e-7,0.876191,0.00001099501,0.02736071,0.000147481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983051,0.0007028386,2.944222e-7,0.01568509,0.000233283,0.0001933674,0.00001158357,0.000009284124,0.0001132373],"genre_scores_gemma":[0.993137,0.00003293289,0.0001054669,0.00007003993,0.0009685599,0.000002741973,0.00001338673,0.000001353583,0.005668488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0959895,"threshold_uncertainty_score":0.230372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765517227517885,"score_gpt":0.2247063123776198,"score_spread":0.2070511401024409,"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."}}