{"id":"W4393669407","doi":"10.5281/zenodo.7969743","title":"FABLE Scenathon database 2021","year":2023,"lang":"en","type":"dataset","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008424775,0.000403103,0.000925221,0.0002432471,0.0001811382,0.0001994441,0.001255012,0.000416182,0.0006376097],"category_scores_gemma":[0.00006875298,0.0001962083,0.0004465517,0.001209293,0.0001342045,0.0001984784,0.0004156955,0.0003394274,0.0006994661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233515,"about_ca_system_score_gemma":0.00009031859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087312,"about_ca_topic_score_gemma":0.0178613,"domain_scores_codex":[0.996891,0.00004684972,0.001030101,0.0008614351,0.0008072674,0.0003632959],"domain_scores_gemma":[0.9983811,0.0001276539,0.0006675171,0.0003341576,0.0003381882,0.0001513966],"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":[0.00004976678,0.0001748199,0.00009662104,0.0001551515,0.0022473,0.00004569747,0.00001370731,0.001437113,0.0003360117,0.00244309,0.9921474,0.0008533631],"study_design_scores_gemma":[0.0001251349,0.00001954753,0.0004448757,0.00007181393,0.0004317592,0.00000246609,0.0003064541,0.0002383178,0.00003153241,0.00008254738,0.9978719,0.000373606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00311074,0.0001323919,0.00001909512,0.0005562312,0.002324862,0.0005706692,0.992103,0.00004539065,0.001137596],"genre_scores_gemma":[0.007023027,0.0003381248,0.0000553005,0.00009387922,0.0008396668,0.0001578341,0.9898853,0.000002270182,0.001604544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006988178,"threshold_uncertainty_score":0.9967023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780598009455662,"score_gpt":0.2384495283804078,"score_spread":0.2206435482858512,"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."}}