{"id":"W2519775678","doi":"10.1111/eva.12432","title":"Identifying patterns of dispersal, connectivity and selection in the sea scallop,<i>Placopecten magellanicus,</i>using<scp>RAD</scp>seq‐derived<scp>SNP</scp>s","year":2016,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Fisheries and Oceans Canada; Bedford Institute of Oceanography; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Scallop; Biological dispersal; Selection (genetic algorithm); SNP; Evolutionary biology; Ecology; Genetics; Gene; Single-nucleotide polymorphism; Demography; Genotype","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003067069,0.0001956664,0.0001947893,0.00005776852,0.0004374007,0.00002651569,0.0002810426,0.00008002164,0.00006738587],"category_scores_gemma":[0.0001309296,0.0001313428,0.00007701786,0.0004415998,0.0002845963,0.0002925068,0.0002900283,0.0001478112,0.00007115905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160209,"about_ca_system_score_gemma":0.0000191859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045622,"about_ca_topic_score_gemma":0.00102987,"domain_scores_codex":[0.9984699,0.0001535313,0.0002817993,0.0004637539,0.000322467,0.000308546],"domain_scores_gemma":[0.9989699,0.0005548224,0.0001593708,0.0002175871,0.00003082003,0.00006752011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002873819,0.0002386804,0.8552564,0.00003448876,0.00004024654,0.000001615269,0.0008510043,0.00007549212,0.1326815,0.002279475,0.007316521,0.001221732],"study_design_scores_gemma":[0.000313318,0.00003445656,0.9789875,0.00002961848,0.00004393741,0.0000347168,0.0009211459,0.0004937809,0.001980353,0.002140632,0.01495358,0.00006694847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96905,0.0002643014,0.02399641,0.0006338003,0.00003287988,0.0007592611,0.0001100365,0.00006050215,0.005092797],"genre_scores_gemma":[0.9978312,0.0002525408,0.0007613836,0.00008229932,0.0001084474,0.0002118625,0.00001728483,0.00001511906,0.000719883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1307012,"threshold_uncertainty_score":0.5356005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633331934227999,"score_gpt":0.2530947210284165,"score_spread":0.2367614016861365,"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."}}