{"id":"W4414832597","doi":"10.1016/j.pocean.2025.103585","title":"What is hidden in the distribution of sea cucumber faecal casts? Spatial point pattern analysis reveals tracemaker community competition in the Bering Sea abyssal plain","year":2025,"lang":"en","type":"article","venue":"Progress In Oceanography","topic":"Echinoderm biology and ecology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Projektträger Jülich; Departament de Recerca i Universitats, Generalitat de Catalunya; Bundesministerium für Forschung und Technologie; Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya; Bundesministerium für Bildung und Forschung; Alexander von Humboldt-Stiftung","keywords":"Benthic zone; Abyssal zone; Spatial distribution; Competition (biology); Transect; Abundance (ecology); Benthos; Fauna; Point pattern analysis","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":[0.0002138625,0.0001751104,0.0002169706,0.001270789,0.0002126332,0.0004910603,0.0001961623,0.0002488761,0.0007377249],"category_scores_gemma":[0.0008641157,0.000157115,0.0003865156,0.0008217809,0.0003884199,0.0003509374,0.0003214436,0.0001346222,0.0002136426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324923,"about_ca_system_score_gemma":0.0002069824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01778159,"about_ca_topic_score_gemma":0.03248758,"domain_scores_codex":[0.9998579,0.00002542078,0.0000111077,0.00005168144,0.00002088421,0.00003304383],"domain_scores_gemma":[0.9996428,0.0001076334,0.0000964654,0.00003875786,0.00006547513,0.00004891217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001512801,0.00002969391,0.9517154,0.00006777431,0.00009348823,0.0002032059,0.0005374327,0.002390956,0.02774836,0.00009865769,0.0001501668,0.01681356],"study_design_scores_gemma":[0.000001534338,0.00002040697,0.9941784,0.000004816252,0.00001182601,0.00007485209,0.0003186791,0.004978874,0.0003037312,0.00003226233,0.00006857917,0.000005973477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992211,0.0000394576,0.0003859775,0.000007967163,0.000001100291,0.000002396076,0.0001310002,0.00001138233,0.0001996542],"genre_scores_gemma":[0.9992299,0.00002445502,0.0005113488,0.000003535965,0.000001876977,0.000002309148,0.0001645463,0.000002992258,0.00005906519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01778159,"threshold_uncertainty_score":0.03535616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606315731942217,"score_gpt":0.2650910808378766,"score_spread":0.2490279235184544,"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."}}