{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006814526,0.0002100768,0.0005209879,0.00001413093,0.001505012,0.0001968795,0.0005108822,0.00005377737,0.00001755619],"category_scores_gemma":[0.00006048494,0.00004913472,0.0003922454,0.0002212714,0.0001289299,0.000009318425,0.0001776686,0.0002441061,0.000005301583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003714462,"about_ca_system_score_gemma":0.00002536176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007458899,"about_ca_topic_score_gemma":0.0001629031,"domain_scores_codex":[0.9981868,0.0006376651,0.0005440117,0.000161214,0.0002165456,0.0002537187],"domain_scores_gemma":[0.9986095,0.0007544009,0.0004613255,0.00008166781,0.00003517367,0.00005786942],"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":[0.00003324655,0.0001377665,0.0000187697,0.000898322,0.001085892,0.00001816357,0.0005354434,0.00002871941,0.00006834301,0.00008354697,0.02445183,0.97264],"study_design_scores_gemma":[0.00003405365,0.0003660756,0.00008846788,0.001260997,0.0003833337,0.0008376303,0.001853862,0.000003424524,0.000002500379,0.00001832352,0.9950323,0.0001190092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002076254,0.9956431,0.000005825249,0.00006250176,0.0003114157,0.0006692009,0.0004593002,0.000006615176,0.0007657905],"genre_scores_gemma":[0.0009894086,0.996797,0.00001517662,0.000008940508,0.0006391709,0.00005468254,0.00002929105,0.000003046368,0.001463303],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9725209,"threshold_uncertainty_score":0.9997949,"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."}}