{"id":"W4410088378","doi":"10.1007/s00227-025-04643-2","title":"Prey spatial distribution and flow regimes modulate predator’s feeding rates: green crab – hard clam interactions as a case study","year":2025,"lang":"en","type":"article","venue":"Marine Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Predation; Predator; Spatial distribution; Apex predator; Ecology; Fishery; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001943831,0.00012672,0.0001609487,0.00004381081,0.0002257122,0.00004774918,0.0001338962,0.00006796003,0.002768978],"category_scores_gemma":[0.0001182585,0.000109782,0.00002868389,0.0001804024,0.0001788612,0.0001347643,0.001276637,0.0001969579,0.0000380301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115961,"about_ca_system_score_gemma":0.00001569588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03835414,"about_ca_topic_score_gemma":0.01159986,"domain_scores_codex":[0.9989817,0.0001271011,0.0001883332,0.0003849336,0.00007167606,0.0002462711],"domain_scores_gemma":[0.9995704,0.00007001564,0.0000409192,0.0002314595,0.00001698499,0.0000702712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000095157,0.0001178353,0.8932867,0.000008392593,0.0000394583,0.0001294292,0.0001493648,0.000005887855,0.0002058667,0.00005950577,0.001086381,0.104816],"study_design_scores_gemma":[0.001506634,0.001077256,0.8317664,0.000008064443,0.00006264976,0.0005280475,0.001155147,0.02655552,0.0001570204,0.001819681,0.1350131,0.0003504859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657957,0.000002710919,0.0005981256,0.0006815249,0.0001764926,0.0004233187,0.00002156838,0.00003814727,0.03226241],"genre_scores_gemma":[0.985038,0.00001612688,0.0001002788,0.0000663398,0.00005396119,0.00007193503,0.00010855,0.000005977908,0.01453881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1339268,"threshold_uncertainty_score":0.9981426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174439182865112,"score_gpt":0.300292279116867,"score_spread":0.2828483608303558,"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."}}