{"id":"W6962412770","doi":"10.1594/pangaea.972610","title":"Passive acoustic monitoring data recorded by recorder ICL1212 at mooring DBS08-04 in the German Bight, North Sea, in 2017","year":2024,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Management and Performance Evaluation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data processing; Standardization; NetCDF; Metadata; Data acquisition; Data set; Mooring; German","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006146631,0.000523415,0.0004627125,0.0007940825,0.001522982,0.00442751,0.002995561,0.0002725958,0.00008714184],"category_scores_gemma":[0.0003838761,0.000437992,0.00007126122,0.0009050192,0.0003757645,0.007529567,0.007572426,0.0009759262,0.00007271702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002160217,"about_ca_system_score_gemma":0.00005461759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3688129,"about_ca_topic_score_gemma":0.6641673,"domain_scores_codex":[0.9952677,0.00009404231,0.0007001873,0.001715461,0.001016679,0.001205893],"domain_scores_gemma":[0.9972762,0.0002485726,0.0003041472,0.002041317,0.00004856367,0.00008112339],"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":[0.0001151841,0.0001158911,0.008573616,0.0009980297,0.00007121576,0.00001337651,0.00004537582,0.000167072,0.000008075049,0.00003330072,0.9719297,0.01792919],"study_design_scores_gemma":[0.0007588007,0.00002859957,0.004881074,0.0001998817,0.0002134285,0.000003900892,0.000138327,0.0356931,6.360352e-7,0.0004168914,0.9571795,0.0004858492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01820676,0.001952009,0.00007451194,0.0009545198,0.002991901,0.002113597,0.9735352,0.00003219732,0.0001392568],"genre_scores_gemma":[0.003809617,0.004938467,0.0001805419,0.0001699033,0.003116266,0.0002910697,0.9861586,0.00006292269,0.001272604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2953545,"threshold_uncertainty_score":0.9998072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011191663741346,"score_gpt":0.3176995212205782,"score_spread":0.2165803548464436,"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."}}