{"id":"W4400041829","doi":"10.1038/s41597-024-03557-w","title":"Computed tomography reconstructions of burrow networks for the Opheliid polychaete, Armandia cirrhosa","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Engineering and Physical Sciences Research Council; Research Councils UK; Natural England","keywords":"Burrow; Polychaete; Intraspecific competition; Ecology; Context (archaeology); Biology; Replicate; Range (aeronautics); Habitat; Ecosystem; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001617281,0.00007377092,0.0001047114,0.0001552849,0.0005234297,0.0001628661,0.001046643,0.00006688432,0.002272223],"category_scores_gemma":[0.00006995661,0.00004694432,0.00005470492,0.0007022198,0.0008885659,0.0001921907,0.0001324979,0.0001636781,0.00008800995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001122836,"about_ca_system_score_gemma":0.00009245974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002153532,"about_ca_topic_score_gemma":0.002164278,"domain_scores_codex":[0.9989152,0.00005907977,0.0001774848,0.0004472236,0.0001088892,0.0002921133],"domain_scores_gemma":[0.9984003,0.000703012,0.00003349406,0.0007550679,0.00004471706,0.00006342339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007403456,0.00002372316,0.3198385,0.00008490033,0.0002268103,0.000006808937,0.00008097701,0.0008897643,0.00002968095,0.0007585009,0.4108416,0.2671447],"study_design_scores_gemma":[0.0001232214,0.00006913403,0.2560994,0.00002019623,0.00004070231,0.0000358597,0.00008550838,0.5439486,0.00002050322,0.001163502,0.1982886,0.0001048671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.501056,0.1037911,0.05029356,0.01468399,0.2026931,0.007501182,0.09314312,0.001110165,0.02572781],"genre_scores_gemma":[0.9897696,0.00006537086,0.0007245758,0.00004601419,0.0002734809,0.000004249975,0.007314682,0.00000272296,0.001799282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5430588,"threshold_uncertainty_score":0.9986398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0543216792617203,"score_gpt":0.2861738484802099,"score_spread":0.2318521692184896,"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."}}