{"id":"W6902573421","doi":"10.7479/f0gw-7403","title":"TheMuseumsLab Digitization Workshop 2022","year":2023,"lang":"de","type":"dataset","venue":"Museum für Naturkunde Berlin - Leibniz-Institut für Evolutions- und Biodiversitätsforschung","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Minnow Environmental (Canada)","funders":"","keywords":"Digitization; Bildung","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003267597,0.001092499,0.0004961696,0.003361588,0.00288801,0.007826856,0.0017091,0.002315202,0.4082465],"category_scores_gemma":[0.003100475,0.0005105584,0.0007777921,0.002991844,0.0007080194,0.003024992,0.006682692,0.001676637,0.1830442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723163,"about_ca_system_score_gemma":0.00393028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452529,"about_ca_topic_score_gemma":0.02794319,"domain_scores_codex":[0.9981337,0.0003195042,0.00008620777,0.00027505,0.0009132136,0.0002722685],"domain_scores_gemma":[0.9981257,0.0002446662,0.0001103795,0.0002667416,0.0006727251,0.0005796785],"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":[0.000260472,0.0000625118,0.0009484328,0.0003332092,0.00001316072,0.0003475303,0.0009737785,0.0003361133,0.004261046,0.01031919,0.7975171,0.1846275],"study_design_scores_gemma":[0.000005330347,0.0000079002,0.0005044737,0.00003254319,0.000001076942,0.00002781141,0.0001593885,0.00002763058,0.0002687672,0.0002904468,0.9986711,0.000003691893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.01047119,0.008228501,0.009356689,0.02457645,0.01254073,0.0008826382,0.02224297,0.004548411,0.9071523],"genre_scores_gemma":[0.01288894,0.001817976,0.004835215,0.001252095,0.0007082727,0.0003019097,0.01168939,0.00117826,0.9653279],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4082465,"threshold_uncertainty_score":0.8440646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368177579141275,"score_gpt":0.2841742093437357,"score_spread":0.2504924335523229,"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."}}