{"id":"W6921432402","doi":"10.7479/0w3d-h789/9","title":"Findbuch N009 Nachlass Keller","year":2022,"lang":"de","type":"dataset","venue":"Museum für Naturkunde Berlin - Leibniz-Institut für Evolutions- und Biodiversitätsforschung","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Minnow Environmental (Canada)","funders":"","keywords":"Algebra over a field; Set theory; Field (mathematics); Series (stratigraphy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.005431529,0.008754726,0.006888648,0.01087412,0.01905248,0.002965044,0.01445624,0.00759955,0.1388264],"category_scores_gemma":[0.002794177,0.01033039,0.005576636,0.01534601,0.006616695,0.006128434,0.01337751,0.0217534,0.1816023],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0235733,"about_ca_system_score_gemma":0.01073798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008990627,"about_ca_topic_score_gemma":0.006356072,"domain_scores_codex":[0.9584382,0.004023504,0.006507934,0.01072057,0.01051835,0.009791481],"domain_scores_gemma":[0.9742492,0.002186057,0.0059142,0.01072784,0.002705125,0.004217546],"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":[0.002431066,0.006004611,0.002055244,0.001458742,0.01044983,0.004004691,0.0006008736,0.005884875,0.0006086209,0.002316995,0.9638286,0.0003558098],"study_design_scores_gemma":[0.0113713,0.001418958,0.0008390334,0.001101632,0.01552464,0.0007177827,0.001780065,0.001234203,0.0002279713,0.0003034119,0.9546126,0.01086844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00264055,0.05398348,0.0002535751,0.002963289,0.03178179,0.008282915,0.8945248,0.002804355,0.002765268],"genre_scores_gemma":[0.01200428,0.01076671,0.002976543,0.002010773,0.004898782,0.0008279136,0.9577671,0.001172529,0.00757543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06324226,"threshold_uncertainty_score":0.99807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167423407950348,"score_gpt":0.2976862743307028,"score_spread":0.2760120402511994,"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."}}