{"id":"W2146207786","doi":"10.1017/s0014479707005327","title":"PARTICIPATORY PLANT BREEDING IN WATER-LIMITED ENVIRONMENTS","year":2007,"lang":"en","type":"article","venue":"Experimental Agriculture","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Germplasm; Selection (genetic algorithm); Citizen journalism; Plant breeding; Biodiversity; Adaptation (eye); Biology; Population; Limiting; Environmental resource management; Environmental planning; Biotechnology; Agroforestry; Geography; Ecology; Agronomy; Political science; Engineering; Environmental science; Computer science; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000212383,0.0001601242,0.0001288855,0.00001277582,0.0001237139,0.00003671497,0.0001539006,0.0001152189,0.0002957441],"category_scores_gemma":[0.000002635914,0.00004959062,0.00005255641,0.000122,0.00002519369,0.00007258957,0.00007944846,0.0001275003,0.00009268541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005488483,"about_ca_system_score_gemma":7.001526e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001175786,"about_ca_topic_score_gemma":0.0002996575,"domain_scores_codex":[0.9988233,0.00002081367,0.000218517,0.0002564504,0.0002160931,0.0004648296],"domain_scores_gemma":[0.9997681,0.00003322088,0.00003525076,0.00002887224,0.000004556488,0.0001299562],"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":[0.00002089012,0.000138215,0.01189241,9.696538e-7,0.000004678036,0.00003219334,0.000537799,0.000006382445,0.9856176,0.00003979873,0.0007548422,0.0009542259],"study_design_scores_gemma":[0.0001517833,0.0001464879,0.1330999,0.00001478745,0.000002573477,0.00001997218,0.001852812,0.00001016958,0.8236161,0.00001102049,0.0408849,0.0001895101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974684,0.0003839672,8.352202e-7,0.0001446376,0.0001736808,0.0001457057,0.00001920611,0.00002884523,0.001634703],"genre_scores_gemma":[0.9989483,0.00001104006,0.00003765846,0.0002037196,0.0002649714,0.00001099917,0.0002293105,9.306141e-7,0.0002931229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1620015,"threshold_uncertainty_score":0.3238191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715649701526845,"score_gpt":0.2203447028157964,"score_spread":0.1831882058005279,"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."}}