{"id":"W6948908988","doi":"10.5281/zenodo.12001523","title":"institutes de justinien pdf","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icon; German; Publishing","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":["insufficient_payload"],"category_scores_codex":[0.0006384843,0.001333825,0.0009042688,0.002293698,0.001872119,0.01033337,0.001241579,0.002066727,0.9074057],"category_scores_gemma":[0.003462647,0.0007211744,0.000624262,0.002834665,0.0006778971,0.006578366,0.003497374,0.002466436,0.8943489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657776,"about_ca_system_score_gemma":0.001565455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002773878,"about_ca_topic_score_gemma":0.007349016,"domain_scores_codex":[0.9990231,0.00008037777,0.00004490016,0.0001522828,0.0005580731,0.0001412778],"domain_scores_gemma":[0.9983584,0.0001696944,0.00008166972,0.0002333767,0.0005985833,0.000558173],"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":[0.00003550588,0.00003039407,0.0000734038,0.0001596943,0.000002370523,0.00004945593,0.00006109678,0.00002954261,0.0003739749,0.00480283,0.9424598,0.05192183],"study_design_scores_gemma":[0.000002879435,0.000004303417,0.00007417735,0.00002732888,6.161012e-7,0.00002933591,0.00002220695,0.00001006482,0.00008614972,0.0002171292,0.9995232,0.00000268119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003048723,0.0009781562,0.0003987469,0.0009763994,0.001242019,0.00005989368,0.002229384,0.001765818,0.9920448],"genre_scores_gemma":[0.001126545,0.0006678147,0.0002087478,0.0003250516,0.0001823962,0.00002403781,0.001087159,0.0009540231,0.9954242],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09259433,"threshold_uncertainty_score":0.1320746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05830249241085975,"score_gpt":0.2123055824767253,"score_spread":0.1540030900658656,"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."}}