{"id":"W6925137837","doi":"10.1594/pangaea.967672","title":"Track of GPS-Drifter M184_8-1 (Drifter_201)","year":2024,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Meteor (satellite); Hydrography; Underwater; Flow (mathematics); Mooring; Drifter; Heading (navigation)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005658161,0.001373754,0.0008753172,0.001979004,0.0004322254,0.0009831298,0.00161963,0.0008595921,0.03246979],"category_scores_gemma":[0.001289064,0.0003556552,0.0004301048,0.003880766,0.0002290682,0.0005801047,0.000802807,0.0009418853,0.06455831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006505195,"about_ca_system_score_gemma":0.00117828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019302,"about_ca_topic_score_gemma":0.03380804,"domain_scores_codex":[0.9995373,0.00006438988,0.00004376335,0.0001737695,0.000102314,0.00007841553],"domain_scores_gemma":[0.999378,0.00005449709,0.000108272,0.0001708717,0.0002167971,0.00007152809],"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":[0.0001420562,0.00004879486,0.004876072,0.0002882027,0.00004058773,0.00005660022,0.00004173383,0.0005297352,0.0005683593,0.0005133117,0.9879591,0.004935395],"study_design_scores_gemma":[0.0002663906,0.00004456945,0.01991235,0.0001075914,0.00002705048,0.00007543907,0.0001103345,0.0009297407,0.0009121753,0.0006357122,0.9769519,0.00002674946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008433202,0.00002532678,0.0001015473,0.00002262548,0.0000160674,0.00001513048,0.997855,0.0002109177,0.0009099992],"genre_scores_gemma":[0.0007388385,0.00001216364,0.0002683667,0.00001117795,0.000003939363,0.00003214023,0.9983286,0.00002495112,0.0005798319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03246979,"threshold_uncertainty_score":0.1086223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06175113648413682,"score_gpt":0.2770843370158672,"score_spread":0.2153332005317304,"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."}}