{"id":"W6921480409","doi":"10.7479/64y2-m311/70","title":"Logistische Metabolismen / Logistical Metabolisms","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":"Animal model; Natural (archaeology)","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":[0.001932666,0.001146341,0.0005488756,0.003237834,0.001750606,0.006916784,0.001114018,0.001852168,0.05127984],"category_scores_gemma":[0.00572667,0.0007192128,0.001318263,0.004356775,0.004928837,0.007535899,0.004378163,0.002739044,0.01080009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004863979,"about_ca_system_score_gemma":0.003990667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105473,"about_ca_topic_score_gemma":0.007046072,"domain_scores_codex":[0.9975853,0.000562472,0.0001790402,0.0004995181,0.0008617385,0.0003118787],"domain_scores_gemma":[0.9960915,0.001050422,0.0009787569,0.000592897,0.0008547892,0.0004314437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002456298,0.0001871945,0.02044414,0.001413051,0.0001006793,0.0008660122,0.002170258,0.004400492,0.003255467,0.7129343,0.07376837,0.1802144],"study_design_scores_gemma":[0.00001771399,0.00006819885,0.016118,0.0005798035,0.00004111162,0.0008970886,0.002262104,0.001987124,0.001361782,0.1925891,0.7839826,0.00009546212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.06567132,0.03163277,0.1143658,0.07455645,0.005917975,0.0004255204,0.01251569,0.002176672,0.6927378],"genre_scores_gemma":[0.5828163,0.03856913,0.05519351,0.01269768,0.004350583,0.0009394042,0.007962693,0.001496206,0.2959745],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05127984,"threshold_uncertainty_score":0.1715482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250620370698817,"score_gpt":0.3191846275637656,"score_spread":0.2866784238567774,"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."}}