{"id":"W2007809661","doi":"10.1371/journal.pone.0034655","title":"Estimating Long-Term Survival Temperatures at the Assemblage Level in the Marine Environment: Towards Macrophysiology","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Ectotherm; Environmental science; Global warming; Temperate climate; Climate change; Context (archaeology); Ecology; Latitude; Atmospheric sciences; Biology; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002068872,0.0001254101,0.0001378904,0.000006389027,0.0001873767,0.00001569285,0.0003427602,0.00005409115,0.002266898],"category_scores_gemma":[0.00006274743,0.00006007573,0.0000429202,0.0001009597,0.0002509238,0.00008234812,0.000554262,0.0002097448,0.0005678838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007144265,"about_ca_system_score_gemma":0.000001979322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115641,"about_ca_topic_score_gemma":0.00004809053,"domain_scores_codex":[0.9988973,0.0001366474,0.0001492478,0.0001948266,0.0002936789,0.0003283483],"domain_scores_gemma":[0.999498,0.0001579149,0.00004778481,0.0002396918,0.000001948544,0.00005465989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001345902,0.0008487244,0.07082125,0.000007112443,0.00001462423,0.000002177562,0.0001508114,0.00007334184,0.9271978,0.00003261025,0.00006087414,0.000777292],"study_design_scores_gemma":[0.0001025817,0.00004118674,0.9610404,0.00000736061,0.00001898913,0.000001870693,0.0000176328,0.0002112327,0.03797855,0.0004492024,0.00002425747,0.0001067377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969245,0.00003959266,0.00002091154,0.0008158654,0.00003060737,0.0001897749,0.00001395797,0.00001295083,0.001951815],"genre_scores_gemma":[0.9976177,0.00002197725,0.001028914,0.0005202078,0.0001505308,0.00005301203,0.0000457303,0.000006349181,0.0005556173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8902192,"threshold_uncertainty_score":0.9986452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07019519568656969,"score_gpt":0.2461828449385077,"score_spread":0.175987649251938,"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."}}