{"id":"W4408486128","doi":"10.5194/egusphere-egu25-17861","title":"Characterization of jellyfish movement, distribution patterns and biogeochemical importance using multi-platform remote sensing observations","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Jellyfish; Biogeochemical cycle; Movement (music); Characterization (materials science); Environmental science; Remote sensing; Computer science; Ecology; Geography; Biology; Nanotechnology; Physics; Materials science","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":[0.0001640279,0.0002194253,0.0001645535,0.0009457853,0.0001124282,0.0002988643,0.0002280207,0.0002068248,0.0006668669],"category_scores_gemma":[0.0004122365,0.0001061932,0.0002972086,0.0004694907,0.0001137337,0.0003844258,0.0003481745,0.0001648163,0.0001801178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645851,"about_ca_system_score_gemma":0.00020386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009425126,"about_ca_topic_score_gemma":0.01651976,"domain_scores_codex":[0.9999024,0.000007067775,0.000006202944,0.00003568942,0.00003479378,0.00001391428],"domain_scores_gemma":[0.9997739,0.00003286638,0.0000750086,0.00003313578,0.00005513246,0.00002988203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001625583,0.0001265591,0.5612521,0.0002049713,0.000111671,0.0005548844,0.0005718602,0.01691588,0.3225475,0.000424907,0.0009390301,0.09618809],"study_design_scores_gemma":[0.000007802742,0.00006564051,0.9390071,0.00001698749,0.00003338032,0.0001236157,0.000241313,0.04974415,0.009721559,0.00009881098,0.0009170865,0.00002251765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927819,0.0001104393,0.004693036,0.00004266929,0.000008968432,0.00001729509,0.0007552775,0.0001042193,0.001486263],"genre_scores_gemma":[0.9915355,0.00009770451,0.006992449,0.00001376731,0.000008375839,0.00001252485,0.0008755686,0.00001186672,0.0004522291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009425126,"threshold_uncertainty_score":0.01874053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04693725865594717,"score_gpt":0.2447316318753136,"score_spread":0.1977943732193664,"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."}}