{"id":"W6969192039","doi":"10.5281/zenodo.5583703","title":"Albibarbefferia albibarbis Macquart","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White (mutation); Seta; Vegetation (pathology); Ovipositor; Black male","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":[],"consensus_categories":[],"category_scores_codex":[0.00009738498,0.0005530659,0.0002681503,0.001196592,0.0009741005,0.0003546196,0.0004158084,0.0002581179,0.009657224],"category_scores_gemma":[0.0001792661,0.0001288939,0.0001149312,0.0004219112,0.0002970573,0.0004399327,0.0004790383,0.0002584777,0.002738405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003383486,"about_ca_system_score_gemma":0.0001341722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184381,"about_ca_topic_score_gemma":0.03897717,"domain_scores_codex":[0.9999156,0.000007824552,0.000005992419,0.00003133644,0.00002510788,0.00001413035],"domain_scores_gemma":[0.9998881,0.00001315526,0.00004575913,0.000009648966,0.00003146617,0.00001190957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005014483,0.0002062052,0.09441424,0.0007012437,0.0001072659,0.003679065,0.002399895,0.0003092648,0.072118,0.002480015,0.02750734,0.795576],"study_design_scores_gemma":[0.00003853835,0.0002089952,0.7665861,0.0002502247,0.0001246123,0.004755977,0.000928993,0.0003846966,0.002818871,0.0004630014,0.223417,0.00002302152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7743198,0.01263428,0.002156507,0.0005416679,0.0002362739,0.000270863,0.002274842,0.0005326952,0.207033],"genre_scores_gemma":[0.9621518,0.001876852,0.002560087,0.0003237182,0.0001251961,0.0000816731,0.00118576,0.00003185968,0.03166294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184381,"threshold_uncertainty_score":0.03230667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326976101905584,"score_gpt":0.2153984793536975,"score_spread":0.1827008691631392,"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."}}