{"id":"W2018291779","doi":"10.1038/nclimate1958","title":"Global imprint of climate change on marine life","year":2013,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2221,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Climate change; Marine life; Environmental science; Climatology; Natural resource economics; Oceanography; Environmental resource management; Economics; Geology","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":[0.00178589,0.000356081,0.0007493675,0.002783235,0.0003715206,0.001072199,0.0003036353,0.000301401,0.002332354],"category_scores_gemma":[0.004789372,0.0002545796,0.001006365,0.005060258,0.0007973885,0.00112179,0.001554303,0.000513175,0.0001986943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004186083,"about_ca_system_score_gemma":0.0002315623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00433042,"about_ca_topic_score_gemma":0.00620999,"domain_scores_codex":[0.9989344,0.0003549777,0.000102506,0.0004080982,0.0001193501,0.00008066643],"domain_scores_gemma":[0.9947743,0.002599494,0.001382638,0.0007184258,0.0003361092,0.0001891238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001200555,0.00001418283,0.9385183,0.001013428,0.004625351,0.0001422029,0.0005156032,0.002258341,0.003281432,0.001110015,0.0007387171,0.04766222],"study_design_scores_gemma":[0.000002365286,0.00003863923,0.9949347,0.00009028916,0.0005084404,0.00006718915,0.0002762174,0.0004351593,0.0002679241,0.0009818855,0.002380477,0.00001661628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401442,0.03731984,0.003113286,0.0009074141,0.0001059483,0.00002361461,0.01149331,0.0001028468,0.006789542],"genre_scores_gemma":[0.9908612,0.00579509,0.0009982957,0.0001928008,0.0000494448,0.00001465429,0.001975776,0.000023919,0.00008877498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00433042,"threshold_uncertainty_score":0.009444773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0281310920100902,"score_gpt":0.2827301595436289,"score_spread":0.2545990675335387,"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."}}