{"id":"W6977491988","doi":"10.7479/64y2-m311/20","title":"Oskar Heinroth / Oskar Heinroth","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":"oskar; German; Natural (archaeology); Natural history","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","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.006221295,0.01030638,0.0082622,0.01186043,0.02037903,0.003477256,0.0161898,0.008942335,0.1004228],"category_scores_gemma":[0.002936648,0.01213053,0.006446746,0.01660854,0.008068188,0.007760075,0.01462457,0.02185501,0.1487237],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02636163,"about_ca_system_score_gemma":0.01238079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0168133,"about_ca_topic_score_gemma":0.0124149,"domain_scores_codex":[0.9524543,0.004810972,0.007506853,0.01226247,0.01172988,0.01123557],"domain_scores_gemma":[0.9701111,0.002005101,0.007059065,0.01268531,0.002946035,0.005193408],"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":[0.00304821,0.006635273,0.002054357,0.002118427,0.01251391,0.004758925,0.0008010761,0.006086379,0.0007002149,0.007539095,0.9534228,0.000321277],"study_design_scores_gemma":[0.01298845,0.002037812,0.0006302902,0.001471881,0.01655415,0.0007916107,0.002098981,0.001131988,0.0002702038,0.0006564239,0.9488414,0.01252681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002107786,0.06423651,0.0006661963,0.002873427,0.02941783,0.01170793,0.8828024,0.00387975,0.002308185],"genre_scores_gemma":[0.006750849,0.02550047,0.004798582,0.002510355,0.006235107,0.001290913,0.9454187,0.001580162,0.005914859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06261631,"threshold_uncertainty_score":0.9993393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952972381437212,"score_gpt":0.2945812553785816,"score_spread":0.2750515315642095,"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."}}