{"id":"W7108214368","doi":"10.34657/25986","title":"DLR Caucasus Barcode of Life (CaBOL) (Georgisch-armenisch-deutsche Initiative zum Aufbau einer gemeinsamen Kaukasischen Biodiversitätsplattform); Teilprojekt Botanik","year":2024,"lang":"de","type":"report","venue":"TIB Repositorium","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"First world war; Ackermann function","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":[0.001393279,0.0006128699,0.0006919288,0.004779716,0.00119686,0.001448237,0.001056758,0.0009989481,0.02133669],"category_scores_gemma":[0.003335824,0.0002511791,0.0004145931,0.003779379,0.0005578506,0.0008047681,0.001357554,0.001007427,0.02122843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943905,"about_ca_system_score_gemma":0.004591908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07518225,"about_ca_topic_score_gemma":0.09537092,"domain_scores_codex":[0.9982083,0.0002481115,0.0001205579,0.0004441806,0.000791924,0.0001869703],"domain_scores_gemma":[0.9971836,0.0002607574,0.000659899,0.0003164648,0.001272738,0.0003065194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001062035,0.00009165105,0.05544179,0.003098035,0.0001480966,0.001326683,0.003812793,0.0007219122,0.09941935,0.017751,0.2439367,0.5731899],"study_design_scores_gemma":[0.00002695419,0.00005442332,0.06249492,0.0004933442,0.00004438374,0.0006588529,0.0007839334,0.0008214354,0.00912783,0.00152161,0.923911,0.00006131993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.161569,0.02282028,0.1047548,0.005200506,0.003569408,0.001813124,0.3641425,0.01956152,0.3165688],"genre_scores_gemma":[0.3281033,0.005250984,0.1585237,0.002545618,0.0003074783,0.00200317,0.349809,0.003733214,0.1497235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07518225,"threshold_uncertainty_score":0.1494893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.048949982737467,"score_gpt":0.282914420356643,"score_spread":0.233964437619176,"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."}}