{"id":"W7162155135","doi":"","title":"Faba Bean Information Service (FABIS ). No.38-39","year":2021,"lang":"en","type":"other","venue":"MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas))","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Information system; Vicia faba; Value (mathematics); Information needs","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":[0.0006737043,0.0009094346,0.0005906446,0.00211771,0.001648557,0.002940115,0.0009939526,0.001193852,0.7626246],"category_scores_gemma":[0.001034793,0.0004170589,0.0003187988,0.002030488,0.0002559625,0.00105424,0.001103793,0.0008193546,0.6678575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00223459,"about_ca_system_score_gemma":0.002224947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04084664,"about_ca_topic_score_gemma":0.07097961,"domain_scores_codex":[0.9997324,0.0000213637,0.000009955967,0.00005147928,0.0001316977,0.00005303839],"domain_scores_gemma":[0.9992281,0.00008834586,0.00003470255,0.00005986737,0.0003214842,0.0002674506],"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":[0.00003779364,0.00003643512,0.0001012555,0.00008008043,9.171885e-7,0.0000295693,0.000040943,0.00001635404,0.0007101395,0.001079969,0.9650596,0.03280699],"study_design_scores_gemma":[0.00000858681,0.0000089357,0.0005904907,0.00002089061,8.937877e-7,0.00001600376,0.0000213007,0.00002877997,0.0001376461,0.0001245581,0.9990391,0.000002911441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006753544,0.0004672479,0.0006656536,0.0006531859,0.0002043651,0.0001464319,0.02864907,0.004286851,0.9642519],"genre_scores_gemma":[0.001292651,0.0002381238,0.0005564047,0.0001718737,0.00003517146,0.00004441173,0.0170735,0.000670808,0.9799171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7626246,"threshold_uncertainty_score":0.3385872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05679761478272374,"score_gpt":0.3430704844593435,"score_spread":0.2862728696766197,"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."}}