{"id":"W6940404107","doi":"10.7479/d1pq-2g96","title":"Medical CT data of unopened transport containers from the German Tendaguru Expedition 1909-1913","year":2022,"lang":"en","type":"dataset","venue":"Museum für Naturkunde Berlin - Leibniz-Institut für Evolutions- und Biodiversitätsforschung","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Minnow Environmental (Canada)","funders":"","keywords":"German; Computed tomographic; Computed tomography; Bamboo; National monument; Assemblage (archaeology); Documentation","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":[],"consensus_categories":[],"category_scores_codex":[0.0002580726,0.0008746939,0.0005002345,0.004706596,0.0003963482,0.0006696887,0.0005992948,0.0006139442,0.01218216],"category_scores_gemma":[0.001187403,0.000436802,0.0004015647,0.006052801,0.0004878362,0.0004457325,0.0007449651,0.0004304051,0.01024264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005019646,"about_ca_system_score_gemma":0.0007650021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893284,"about_ca_topic_score_gemma":0.04976746,"domain_scores_codex":[0.9996517,0.00002377308,0.00004884068,0.0001083699,0.00009660831,0.0000707353],"domain_scores_gemma":[0.9995031,0.00007714071,0.0001145135,0.0001036575,0.0001442618,0.00005722369],"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":[0.001667198,0.0001602212,0.2459994,0.003768034,0.0004456536,0.00526659,0.002088821,0.004480934,0.0106111,0.001489686,0.5813038,0.1427186],"study_design_scores_gemma":[0.00006991114,0.0000737786,0.395075,0.001115361,0.0001850627,0.004480133,0.002103988,0.0009671823,0.002605022,0.0005828482,0.5926446,0.00009712025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09599398,0.00203393,0.001350366,0.0001561673,0.000122146,0.00006350606,0.8929132,0.0005637402,0.006802951],"genre_scores_gemma":[0.1130848,0.001323926,0.003029893,0.00007057522,0.00004983562,0.0001692104,0.8789222,0.0002065318,0.003142955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01893284,"threshold_uncertainty_score":0.04075336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779269377056073,"score_gpt":0.2852323012683198,"score_spread":0.2574396074977591,"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."}}