{"id":"W2032076198","doi":"10.1007/s10333-010-0227-1","title":"On-farm evaluation of a low-input rice production system in Panama","year":2010,"lang":"en","type":"article","venue":"Paddy and Water Environment","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"System of Rice Intensification; Panama; Agriculture; Subsistence agriculture; Environmental science; Yield (engineering); Agronomy; Soil fertility; Production (economics); Wet season; Agroforestry; Agricultural science; Soil water; Geography; Biology; Economics; Ecology","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":[0.0004516653,0.00005998916,0.00006558563,0.000009039889,0.00004242065,0.000008769696,0.00003786655,0.00003710667,0.0001308343],"category_scores_gemma":[0.0000110143,0.00002024498,0.00001561861,0.00002851967,0.00002131864,0.00002684718,0.00002044822,0.0000591126,0.00001704196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002464298,"about_ca_system_score_gemma":0.000001205474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006636731,"about_ca_topic_score_gemma":0.000069428,"domain_scores_codex":[0.9993604,0.00004128654,0.0001355058,0.000164966,0.0002052358,0.00009258329],"domain_scores_gemma":[0.9998724,0.00001522278,0.0000352245,0.00004177849,0.00001037434,0.00002502325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001182683,0.0001127832,0.002367383,0.00001250615,0.000003022389,1.757233e-7,0.0001873748,0.00005378754,0.9330323,0.0001196454,0.000007066871,0.06409214],"study_design_scores_gemma":[0.0004116352,0.0002032762,0.5369753,0.00003354802,0.00001548735,0.000001852803,0.0005794864,0.0008958024,0.4587866,0.0002507824,0.001705654,0.0001406352],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998633,0.000008841613,0.000002127833,0.0005641119,0.0001107943,0.0002816262,0.000002279975,0.000006870134,0.0003903653],"genre_scores_gemma":[0.9997118,0.000009829253,0.0000151015,0.00004638827,0.00005287729,0.00004128684,0.00001717813,3.918836e-7,0.0001051593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5346079,"threshold_uncertainty_score":0.1432544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621313871000642,"score_gpt":0.1994809165121495,"score_spread":0.183267777802143,"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."}}