{"id":"W6958784387","doi":"10.7479/6rz1-gp97","title":"Tagging Objects from Colonial Contexts. A Decision Tree for the Museum für Naturkunde Berlin Collections","year":2023,"lang":"en","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":"Colonialism; Sketch; Historical heritage; Natural (archaeology); World heritage; Excavation","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","research_integrity"],"category_scores_codex":[0.003578942,0.004871293,0.004418685,0.006735304,0.01761135,0.003160529,0.008202574,0.006714035,0.0005595717],"category_scores_gemma":[0.007359535,0.004559531,0.003971451,0.01263185,0.003697973,0.003344507,0.004014486,0.00911893,0.015568],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01035409,"about_ca_system_score_gemma":0.006894229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04761925,"about_ca_topic_score_gemma":0.2538346,"domain_scores_codex":[0.977343,0.001299907,0.00425882,0.006393165,0.005136598,0.005568528],"domain_scores_gemma":[0.9736592,0.01207172,0.003564121,0.006108629,0.002777659,0.001818728],"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":[0.003468553,0.001474045,0.0001477371,0.0003482251,0.006054933,0.0004761688,0.000591545,0.003116476,0.0004771249,0.0006960965,0.9824914,0.0006577218],"study_design_scores_gemma":[0.0129955,0.0008412489,0.001116125,0.001722981,0.01061936,0.0001568232,0.001161381,0.004737181,0.0002707708,0.001520609,0.9597407,0.005117343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001329057,0.01267458,0.001625233,0.003629792,0.0286364,0.01161735,0.9369116,0.003166883,0.0004090591],"genre_scores_gemma":[0.01373305,0.004608932,0.005966372,0.001740276,0.005915778,0.002207716,0.9614769,0.0009456425,0.003405316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2062154,"threshold_uncertainty_score":0.9990134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341824793746767,"score_gpt":0.3172539791574026,"score_spread":0.2938357312199349,"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."}}