{"id":"W2997916410","doi":"10.1093/conphys/coz098","title":"Local cold adaption increases the thermal window of temperate mussels in the Arctic","year":2019,"lang":"en","type":"article","venue":"Conservation Physiology","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; University of British Columbia","funders":"Natural Environment Research Council; Sight Research UK; 15. Juni Fonden","keywords":"Mytilus; Temperate climate; Arctic; Latitude; Biology; Intertidal zone; Ecology; Arctic vegetation; Population; Climate change; Habitat; Oceanography; Tundra; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001653665,0.0001645889,0.0001944696,0.0002217449,0.0002826753,0.0004049724,0.000124514,0.0001627521,0.0007664344],"category_scores_gemma":[0.0002386723,0.0001135812,0.0002387217,0.0001351262,0.000163057,0.0001883891,0.000324468,0.0001777063,0.0001192784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003819,"about_ca_system_score_gemma":0.0001254796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004998176,"about_ca_topic_score_gemma":0.007649145,"domain_scores_codex":[0.9999437,0.000008963807,0.00000361067,0.00002323804,0.000006737236,0.00001372431],"domain_scores_gemma":[0.9998612,0.0000220654,0.00004726848,0.00001702095,0.00002583522,0.00002643871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009201861,0.00007344547,0.5004441,0.0001035633,0.000217744,0.0001711088,0.0009558033,0.0115338,0.4739474,0.0002811524,0.0001947652,0.01115708],"study_design_scores_gemma":[0.000004648951,0.00007908278,0.9912841,0.000007470457,0.00002374761,0.00004837144,0.0002597453,0.002614256,0.00530414,0.00008387218,0.0002828881,0.000007698287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995379,0.00003986308,0.0001997352,0.000004197857,8.486672e-7,4.638938e-7,0.00003303326,0.000005204953,0.0001787528],"genre_scores_gemma":[0.9997827,0.00001798575,0.00006488805,0.000003892329,6.50646e-7,0.00000138416,0.00004860786,0.000002983544,0.00007696899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004998176,"threshold_uncertainty_score":0.00993818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121524118463626,"score_gpt":0.2225547400088488,"score_spread":0.2104023281624862,"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."}}