{"id":"W7009828398","doi":"","title":"FABIS Faba Bean Information Service No.30","year":2021,"lang":"en","type":"other","venue":"MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas))","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Vicia faba; Information system; Value (mathematics); Research centre","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007670493,0.0009015215,0.0006443224,0.002705051,0.001891193,0.003260564,0.0009217151,0.00115051,0.7695227],"category_scores_gemma":[0.001122206,0.0004018785,0.0004169265,0.001957338,0.0002892913,0.0009693704,0.001122297,0.0007361271,0.6728406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696655,"about_ca_system_score_gemma":0.002616607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04148128,"about_ca_topic_score_gemma":0.07378608,"domain_scores_codex":[0.9996552,0.00002533086,0.00001092052,0.00007106918,0.0001726524,0.0000647025],"domain_scores_gemma":[0.9990576,0.00008422203,0.00004265422,0.00008307704,0.0004012827,0.0003312514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004260571,0.00003436595,0.00009710327,0.00008970817,0.000001117069,0.00003919396,0.00004309942,0.00002005915,0.000987052,0.001505462,0.9587649,0.03837523],"study_design_scores_gemma":[0.000005630865,0.0000076821,0.0003883264,0.00001662533,7.666053e-7,0.00001626592,0.000016323,0.0000175459,0.0000976633,0.0001113054,0.9993197,0.000002102582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000580886,0.0006123655,0.0005072067,0.0006468276,0.0002698395,0.0001178161,0.01380938,0.002660941,0.9807947],"genre_scores_gemma":[0.0009451871,0.0002809824,0.0003587969,0.0001331188,0.00004138759,0.00003038475,0.007726121,0.0003684475,0.9901156],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7695227,"threshold_uncertainty_score":0.3287479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05067590263900903,"score_gpt":0.2861141037791325,"score_spread":0.2354382011401235,"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."}}