{"id":"W6921394219","doi":"10.7479/kzrn-7465","title":"Der Public Engagement Kodex","year":2023,"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":"Dialog box; Public place; Public engagement; Intervention (counseling); Joint (building)","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":[0.001638387,0.001851345,0.001153331,0.003621706,0.00182513,0.003644631,0.002174934,0.002502475,0.06571639],"category_scores_gemma":[0.008165732,0.0006452097,0.001408809,0.005670405,0.0006226977,0.00332209,0.004277827,0.002859956,0.1121865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073963,"about_ca_system_score_gemma":0.003300003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03301382,"about_ca_topic_score_gemma":0.08322239,"domain_scores_codex":[0.9972872,0.0006817007,0.0003120678,0.0006466756,0.0005700306,0.0005023081],"domain_scores_gemma":[0.9958143,0.0009028141,0.0004460517,0.00102609,0.001217888,0.0005930305],"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":[0.00009518028,0.00002142401,0.001245929,0.0004419282,0.0000133093,0.00001575125,0.00007658956,0.00008888426,0.00008184873,0.001029584,0.9936831,0.003206467],"study_design_scores_gemma":[0.00008300435,0.00001748907,0.003864946,0.0002458336,0.00001310873,0.00003397258,0.0002834349,0.0001865727,0.0002249114,0.0009558623,0.9940681,0.00002270507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005983606,0.0002298412,0.0001891856,0.0004334328,0.0001380864,0.0000522479,0.993584,0.0006280236,0.004146857],"genre_scores_gemma":[0.0009072685,0.0001024478,0.0004974978,0.0001469174,0.00002508509,0.0001914955,0.9948198,0.0001078912,0.003201606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06571639,"threshold_uncertainty_score":0.2198432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05675873860849599,"score_gpt":0.3264655036460847,"score_spread":0.2697067650375887,"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."}}