{"id":"W2190899276","doi":"10.1016/j.fcr.2015.07.027","title":"Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits","year":2015,"lang":"en","type":"article","venue":"Field Crops Research","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Centre de Coopération Internationale en Recherche Agronomique pour le Développement; International Development Research Centre","keywords":"Phenomics; Phenology; Biology; Altitude (triangle); Oryza sativa; Genetic diversity; Trait; Adaptation (eye); Agronomy; Mathematics; Population","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":[0.0006363935,0.00006489272,0.0001074805,0.00005968503,0.00008299597,0.00001310208,0.0001827528,0.0001349539,0.000009337468],"category_scores_gemma":[0.0004997746,0.00005885631,0.00002546248,0.00004809673,0.0000406126,0.000002169308,0.0005329021,0.00009714092,0.000002472988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009570895,"about_ca_system_score_gemma":0.00003779206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002669735,"about_ca_topic_score_gemma":0.00003620639,"domain_scores_codex":[0.9992025,0.0000961165,0.00009693444,0.0002234715,0.0001556495,0.0002252787],"domain_scores_gemma":[0.999562,0.000153445,0.00001731254,0.0001127276,0.00003611921,0.0001183767],"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":[0.01967345,0.0003488464,0.07448775,0.00009883103,0.00007288334,0.00004288604,0.002817372,0.0001008627,0.8565075,0.0001218516,0.04093703,0.004790717],"study_design_scores_gemma":[0.006558779,0.01773858,0.3958988,0.000100116,0.00003406213,0.00004539869,0.00947028,0.0004311634,0.4260868,0.0009429313,0.1419013,0.0007918947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979871,0.00009733632,0.0003665326,0.0007545727,0.00002420223,0.0001736771,0.0000835894,0.000001794934,0.000511202],"genre_scores_gemma":[0.9981275,0.00005403798,0.0006000914,0.0002032874,0.00003932264,0.000005690858,0.00001251186,0.0000028296,0.0009547903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4304208,"threshold_uncertainty_score":0.2400091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354544653362066,"score_gpt":0.3259418643005542,"score_spread":0.1904873989643476,"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."}}