{"id":"W6901915826","doi":"10.60692/h4fdq-shd05","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003955872,0.00009427157,0.0001308676,0.00001169308,0.000440967,0.0003151133,0.0002206742,0.00005118087,0.000009906967],"category_scores_gemma":[0.0001611976,0.00003329512,0.0001014932,0.0003855672,0.00004207648,0.00008115715,0.0000807187,0.00006569598,0.00002245322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003912129,"about_ca_system_score_gemma":0.00002586405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002803282,"about_ca_topic_score_gemma":0.000009879613,"domain_scores_codex":[0.998786,0.0001453255,0.000472076,0.0001136106,0.000258953,0.0002239781],"domain_scores_gemma":[0.9991598,0.00009160634,0.0001864288,0.0001098091,0.000361868,0.00009044767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00839721,0.0007114461,0.2034215,0.02747653,0.006154054,0.0001490995,0.2681339,0.001660357,0.1040075,0.01617943,0.1076362,0.2560728],"study_design_scores_gemma":[0.002600463,0.002695647,0.1000505,0.001372188,0.0001975854,0.0004405456,0.3961328,0.006377941,0.09200227,0.0000328451,0.3967018,0.001395358],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899234,0.00006875474,0.0002725187,0.0000665332,0.0001180477,0.0004929446,0.0003742682,0.00005724202,0.008626332],"genre_scores_gemma":[0.998675,0.000002144787,0.00002266616,0.00001772028,0.0001333715,0.00009429044,0.00002212122,0.000001004587,0.001031707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2890657,"threshold_uncertainty_score":0.3391607,"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."}}