{"id":"W4229010901","doi":"10.1111/nph.18203","title":"A trait–environment relationship approach to participatory plant breeding for organic agriculture","year":2022,"lang":"en","type":"article","venue":"New Phytologist","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary; Kwantlen Polytechnic University; The Scarborough Hospital; University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Trait; Agronomy; Biology; Crop; Petiole (insect anatomy); Agriculture; Crop yield; Gene–environment interaction; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009529115,0.0003793041,0.0003805498,0.0004479424,0.0005398636,0.001027718,0.0007904574,0.0003391884,0.001562933],"category_scores_gemma":[0.001651093,0.000237689,0.000705205,0.000691082,0.001189521,0.0004499412,0.0007950651,0.0006338877,0.00008144225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002093755,"about_ca_system_score_gemma":0.001566267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02460411,"about_ca_topic_score_gemma":0.04491454,"domain_scores_codex":[0.9994721,0.0003128312,0.00001074063,0.000107432,0.00004606275,0.00005089995],"domain_scores_gemma":[0.9994112,0.0003224453,0.0001126088,0.00006379296,0.00004263173,0.0000472637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001434101,0.0002701347,0.1280238,0.0002774895,0.0005701568,0.0008720388,0.001639455,0.5686384,0.02989322,0.1922392,0.0009836378,0.07644903],"study_design_scores_gemma":[0.00003256162,0.0002827027,0.108004,0.00003635422,0.0001721564,0.0003140903,0.0008588844,0.7476953,0.001935766,0.1304012,0.01019508,0.00007196434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4034587,0.0002787234,0.5858976,0.0007071166,0.00001314828,0.0001227922,0.000257233,0.0001845771,0.009080107],"genre_scores_gemma":[0.9241098,0.00008544913,0.07478117,0.00005371717,0.000004877405,0.00009872913,0.00005829197,0.00002061717,0.0007874252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02460411,"threshold_uncertainty_score":0.04892182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05285161413480824,"score_gpt":0.2498757908679431,"score_spread":0.1970241767331349,"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."}}