{"id":"W2966383576","doi":"10.1101/724062","title":"Fine-scale seascape genomics of an exploited marine species, the common cockle <i>Cerastoderma edule</i> , using a multi-modelling approach","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Interreg; Institute of Population and Public Health; Aberystwyth University; Llywodraeth Cymru","keywords":"Seascape; Cerastoderma edule; Biological dispersal; Cockle; Biology; Ecology; Genetic structure; Pelagic zone; Marine ecosystem; Homarus; Marine protected area; Population; Marine reserve; Fishery; American lobster; Ecosystem; Mollusca; Genetic variation; Habitat; Bivalvia","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":[0.0002798997,0.0001693918,0.0001385564,0.0003319299,0.0001775764,0.0004178251,0.0002007343,0.0002219981,0.0004602761],"category_scores_gemma":[0.0003190722,0.0001006094,0.0003436954,0.000229382,0.0001211947,0.000179121,0.0002776696,0.0002040073,0.00005090794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000256967,"about_ca_system_score_gemma":0.0001677842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168775,"about_ca_topic_score_gemma":0.01923442,"domain_scores_codex":[0.9999272,0.00002111602,0.000003870119,0.00003263456,0.000006947816,0.000008311783],"domain_scores_gemma":[0.9998586,0.00004842503,0.00004750665,0.00001486066,0.00001138166,0.00001924242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003451911,0.0001783502,0.7048473,0.0000812568,0.0005073186,0.0002965333,0.0006031638,0.1287476,0.143475,0.0007807027,0.0003141773,0.01982339],"study_design_scores_gemma":[0.00001122753,0.00009932967,0.7444156,0.00001221457,0.00008698186,0.00008794676,0.000254099,0.2521214,0.002330203,0.0002668553,0.0002981367,0.00001610313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985766,0.00000862519,0.001238177,0.000007736438,2.662008e-7,0.000001384852,0.0000784615,0.000008360611,0.00008030745],"genre_scores_gemma":[0.9982058,0.000007700338,0.001545369,0.000004414908,3.407513e-7,0.00000353358,0.0001664504,0.000004098259,0.00006227547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01168775,"threshold_uncertainty_score":0.02323943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289034358627434,"score_gpt":0.2262790555709959,"score_spread":0.1933887119847215,"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."}}