{"id":"W2327981701","doi":"10.3318/bioe.2016.1","title":"Estimating the historical distribution, abundance and ecological contribution of <em>Modiolus modiolus</em> in Strangford Lough, Northern Ireland","year":2016,"lang":"en","type":"article","venue":"Biology & Environment Proceedings of the Royal Irish Academy","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agri-Food and Biosciences Institute; Queen's University; Natural Environment Research Council; U.S. Department of Energy; Northern Ireland Environment Agency; Sight Research UK; Queen's University Belfast; Department of Agriculture and Rural Development, Northern Ireland; Strong","keywords":"Abundance (ecology); Geography; Fishery; Modiolus (cochlea); Fishing; Population; Habitat; Ecology; Oceanography; Environmental science; Physical geography; Biology; Geology; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005341379,0.0001787934,0.0001420219,0.0009862046,0.0002366249,0.0003877093,0.0005092895,0.0002824444,0.0005371944],"category_scores_gemma":[0.0009195721,0.000232981,0.0002323851,0.0005237108,0.0005609909,0.0005839685,0.0004731026,0.0001702192,0.0002565124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833342,"about_ca_system_score_gemma":0.0004750517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1079148,"about_ca_topic_score_gemma":0.2476537,"domain_scores_codex":[0.9997595,0.00003237795,0.00001630732,0.00009446692,0.00003693283,0.00006040678],"domain_scores_gemma":[0.9992591,0.0000908703,0.0003529972,0.00007112738,0.0001231808,0.0001027487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003279056,0.00001365268,0.9934868,0.000008368336,0.00001609023,0.0000715862,0.0002085028,0.0009217488,0.001020994,0.00002160536,0.0001234152,0.004074318],"study_design_scores_gemma":[0.000001448998,0.00002841231,0.9983239,0.000003859553,0.000005805678,0.00005081797,0.0002314263,0.00105456,0.0001098824,0.000007973579,0.0001780794,0.000003909997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995769,0.00002908548,0.00008479229,0.000007438271,7.077138e-7,0.000003286177,0.0001053289,0.000003303755,0.0001891226],"genre_scores_gemma":[0.9994152,0.00002470538,0.0001678718,0.000003402614,0.000001175596,0.000005432168,0.0002285601,0.000001366011,0.0001524084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1079148,"threshold_uncertainty_score":0.2145732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016333562559086,"score_gpt":0.2208250395872902,"score_spread":0.2106617039616994,"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."}}