{"id":"W3196215234","doi":"10.1111/tpj.15472","title":"The INCREASE project: Intelligent Collections of food‐legume genetic resources for European agrofood systems","year":2021,"lang":"en","type":"review","venue":"The Plant Journal","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Biology; Food security; Agriculture; Biotechnology; Sustainable agriculture; Food systems; Germplasm; Genetic resources; Agroforestry; Business; Agronomy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006455637,0.001419798,0.0009498725,0.002463886,0.001371812,0.002662221,0.002673359,0.001279314,0.006623168],"category_scores_gemma":[0.00596273,0.0005246166,0.001392486,0.002978425,0.000805106,0.001805803,0.003914191,0.001172648,0.003048929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180356,"about_ca_system_score_gemma":0.002794298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007786945,"about_ca_topic_score_gemma":0.006821671,"domain_scores_codex":[0.9974286,0.0008692659,0.0001228113,0.000605783,0.0006061493,0.0003673902],"domain_scores_gemma":[0.9932749,0.001147543,0.000584125,0.002295237,0.0007786183,0.001919591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006854505,0.003148536,0.04374897,0.002131749,0.0009572849,0.001909449,0.005685989,0.03226976,0.200573,0.02394642,0.1450661,0.5337083],"study_design_scores_gemma":[0.002283073,0.003583803,0.1532044,0.0006440956,0.0006474274,0.001334084,0.002583387,0.04962265,0.06414575,0.01412488,0.7074538,0.0003726851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5321194,0.002451308,0.2109525,0.001969995,0.0003660268,0.00347994,0.2014949,0.02278794,0.02437795],"genre_scores_gemma":[0.1890508,0.0007049201,0.3313181,0.0004696878,0.00007011992,0.002076126,0.4626343,0.003504313,0.0101717],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007786945,"threshold_uncertainty_score":0.03414106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07573780428065462,"score_gpt":0.2475868639535827,"score_spread":0.1718490596729281,"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."}}