{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001394838,0.0002924577,0.0001326098,0.0004664837,0.0004988577,0.0002069487,0.0001892053,0.0001570129,0.00151947],"category_scores_gemma":[0.0002016513,0.00008655195,0.0001505032,0.0005439221,0.000187418,0.00008444901,0.0003378253,0.0002123906,0.000151016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003594059,"about_ca_system_score_gemma":0.0002074667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02524089,"about_ca_topic_score_gemma":0.07855641,"domain_scores_codex":[0.9998944,0.00002835877,0.000004383536,0.00003845608,0.00001085145,0.00002352853],"domain_scores_gemma":[0.9998325,0.00003604521,0.00004611199,0.00001386076,0.0000288042,0.00004262238],"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":[0.001023097,0.0001826447,0.4752069,0.00008634919,0.0001928254,0.0003465374,0.001405196,0.0006754238,0.5033987,0.0001236778,0.0008974833,0.01646123],"study_design_scores_gemma":[0.000003055687,0.00006801048,0.9975477,0.000001939248,0.00001236503,0.00004262149,0.000216723,0.00009219666,0.001681883,0.00001019596,0.0003203833,0.000002968273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980994,0.00003490021,0.0002031057,0.00001739706,0.000001351091,0.00001302052,0.001247717,0.000007789541,0.0003753356],"genre_scores_gemma":[0.9961901,0.00004128948,0.0007517438,0.00005755462,0.000001732267,0.00006699127,0.002078095,0.000007078573,0.0008053436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02524089,"threshold_uncertainty_score":0.05018795,"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."}}