{"id":"W7130250837","doi":"","title":"FABIS Faba Bean Information Service No.15","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); 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":[0.0007306064,0.001058098,0.0007287897,0.002698094,0.002139739,0.003785992,0.001040317,0.001304317,0.8027964],"category_scores_gemma":[0.00119867,0.0005211299,0.0004732531,0.002074828,0.0003040145,0.001123438,0.001304223,0.0008329755,0.738887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002555554,"about_ca_system_score_gemma":0.002475392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03937619,"about_ca_topic_score_gemma":0.06781437,"domain_scores_codex":[0.9996397,0.00002482137,0.00001116457,0.0000751995,0.0001743539,0.00007464946],"domain_scores_gemma":[0.9990571,0.00008174292,0.0000451921,0.00008908247,0.0003853701,0.0003415281],"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":[0.00004231601,0.00003630601,0.0000966863,0.00008137611,0.000001190399,0.00002950909,0.00004214223,0.00002000945,0.0008620137,0.001355301,0.9638087,0.03362438],"study_design_scores_gemma":[0.000006992175,0.000008789134,0.0003874608,0.00001782491,9.352981e-7,0.000015089,0.00001678758,0.00002370967,0.0001153248,0.0001249063,0.9992794,0.000002672081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005918452,0.0004496028,0.0006240665,0.0005065759,0.0002337936,0.0001244952,0.0176391,0.004089769,0.9757408],"genre_scores_gemma":[0.001048596,0.000223498,0.0004106213,0.0001400546,0.00003646174,0.00003575494,0.009981733,0.0005905507,0.9875328],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8027964,"threshold_uncertainty_score":0.281287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05820079570366157,"score_gpt":0.3442406018870725,"score_spread":0.286039806183411,"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."}}