{"id":"W6920644980","doi":"10.60692/50j05-sn589","title":"The INCREASE project: Intelligent Collections of food‐legume genetic resources for European agrofood systems","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Botanical Research and Chemistry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Food security; Agriculture; Genetic resources; Agricultural biodiversity; Sustainable agriculture; Adaptation (eye); Germplasm; Food systems","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":[0.006232883,0.001131368,0.0007902085,0.002459891,0.00111768,0.002193913,0.002006451,0.0009757418,0.005618833],"category_scores_gemma":[0.005130608,0.0004414704,0.001087807,0.002694687,0.0007218278,0.001391387,0.00299083,0.0009341763,0.00244978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077645,"about_ca_system_score_gemma":0.002429021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007824591,"about_ca_topic_score_gemma":0.006427396,"domain_scores_codex":[0.9974946,0.0008840687,0.0001330768,0.0005759535,0.0005906316,0.0003217784],"domain_scores_gemma":[0.9932185,0.001275996,0.0005490524,0.002169344,0.0009462656,0.001840936],"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":[0.006790218,0.00260635,0.05221399,0.002014,0.0008780289,0.00198892,0.005053597,0.04850942,0.1671025,0.02628913,0.1433609,0.5431929],"study_design_scores_gemma":[0.001903396,0.003285691,0.1693159,0.0005752806,0.0005814168,0.001389425,0.002735988,0.07175761,0.06410798,0.01545209,0.6685106,0.000384662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6237096,0.001974491,0.1628882,0.001848327,0.0002591089,0.002965129,0.164062,0.01943549,0.02285774],"genre_scores_gemma":[0.2483615,0.0006038845,0.3114593,0.0004116478,0.00007074924,0.001773476,0.4251468,0.002918392,0.009254359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007824591,"threshold_uncertainty_score":0.03296304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04093972503630487,"score_gpt":0.2155540047698981,"score_spread":0.1746142797335932,"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."}}