{"id":"W4397006029","doi":"10.1111/oik.10524","title":"Interactive effects of predation and climate on the distributions of marine shellfish in the Northwest Atlantic","year":2024,"lang":"en","type":"article","venue":"Oikos","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Memorial University of Newfoundland; McGill University; Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"","keywords":"Shrimp; Predation; Climate change; Abundance (ecology); Ecology; Invertebrate; Snow; Species distribution; Environmental science; Biology; Fishery; Habitat; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004458952,0.0001744265,0.0001917859,0.0004200527,0.0004609749,0.0006933481,0.0003652906,0.0002717084,0.0008918661],"category_scores_gemma":[0.001018032,0.0001506045,0.000542469,0.0004736937,0.0003158446,0.0002624502,0.0004386958,0.0002935555,0.0001005541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664286,"about_ca_system_score_gemma":0.001780468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7206703,"about_ca_topic_score_gemma":0.8528256,"domain_scores_codex":[0.9998617,0.00001918003,0.00001051778,0.00005171762,0.00002022828,0.00003657514],"domain_scores_gemma":[0.9995303,0.0001006236,0.0000919787,0.00003804752,0.0001428643,0.00009615165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003434499,0.000007106454,0.9954465,0.000009975985,0.00008680748,0.00004478013,0.0000881328,0.001783264,0.000759406,0.00004068562,0.000188205,0.001510776],"study_design_scores_gemma":[0.000001919483,0.000004083623,0.9967815,0.000004573144,0.00001650845,0.00001414753,0.0001505433,0.002684746,0.00005774674,0.00002337344,0.0002561132,0.000004764647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984346,0.0001203042,0.00009626624,0.00006304738,0.000005064171,0.000001328683,0.0009650542,0.000009787275,0.0003044581],"genre_scores_gemma":[0.9987668,0.00007370429,0.0001023233,0.00001825719,0.000002173791,0.000001966252,0.0008986915,0.000002772251,0.000133475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7206703,"threshold_uncertainty_score":0.5619494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00962941142773218,"score_gpt":0.2357808009750414,"score_spread":0.2261513895473092,"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."}}