{"id":"W7086779324","doi":"10.5281/zenodo.17305783","title":"Data and code for the study entitled Bubble Distribution Along Major Rivers in the Amazon During the High-Water Season by Edelfeldt et al, accepted in Journal of Geophysical Research: Biogeosciences","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Amazon rainforest; Code (set theory); Data file; Distribution (mathematics); Bubble","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001663997,0.001178542,0.001025317,0.002601347,0.000929307,0.001992289,0.002294163,0.001027468,0.5116628],"category_scores_gemma":[0.01325309,0.001034745,0.001407291,0.004003962,0.0005410147,0.002087877,0.002332212,0.00147997,0.2455113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114845,"about_ca_system_score_gemma":0.002990592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0234901,"about_ca_topic_score_gemma":0.03110118,"domain_scores_codex":[0.9988188,0.0001205642,0.0001980248,0.0002727442,0.0004579126,0.0001318516],"domain_scores_gemma":[0.9935115,0.00260235,0.0005481202,0.001182899,0.001623354,0.0005317946],"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":[0.0001369756,0.00003061616,0.001939031,0.0007172321,0.00003182259,0.00006538265,0.0001248542,0.0004139349,0.0005222166,0.0008148974,0.9842198,0.01098308],"study_design_scores_gemma":[0.0004661446,0.00003259787,0.0120343,0.0004374267,0.00004365257,0.0001305755,0.0001846714,0.0008650116,0.001408705,0.003719753,0.9806051,0.00007199296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005576654,0.00003731245,0.002596345,0.0002196499,0.0001779986,0.0002049259,0.9820095,0.008856525,0.005340006],"genre_scores_gemma":[0.005971495,0.0001660376,0.01551253,0.0004899931,0.000121332,0.002415968,0.9329867,0.02229712,0.02003891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5116628,"threshold_uncertainty_score":0.6965537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711589448678353,"score_gpt":0.307577709815857,"score_spread":0.2704618153290734,"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."}}