{"id":"W4366208486","doi":"10.5194/essd-15-1675-2023","title":"Heat stored in the Earth system 1960–2020: where does the energy go?","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","field":"Environmental Science","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Environment Research Council; Sight Research UK; Deutsches Klimarechenzentrum","keywords":"Cryosphere; Earth system science; Climate change; Environmental science; Atmosphere (unit); Global warming; Climatology; Atmospheric sciences; Earth science; Meteorology; Geography; Geology; Oceanography; Sea ice","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":[0.006960893,0.0001935467,0.0002225496,0.00006768492,0.0008577407,0.0003748011,0.004247864,0.0000623896,0.000159208],"category_scores_gemma":[0.0001146078,0.00009353754,0.0000443669,0.002331701,0.0008203199,0.0009411038,0.001826127,0.000172468,0.001270828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243767,"about_ca_system_score_gemma":0.00008078962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005445787,"about_ca_topic_score_gemma":0.008944127,"domain_scores_codex":[0.9962148,0.0004369864,0.0004141268,0.0009545615,0.001281565,0.0006979436],"domain_scores_gemma":[0.9965204,0.0002975957,0.00006500365,0.002978975,0.00001394977,0.0001241056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000333934,0.001237331,0.1933821,0.00363775,0.0001619485,0.001635164,0.07373079,0.1875309,0.157365,0.1117905,0.2158675,0.0533271],"study_design_scores_gemma":[0.0005065031,0.00007051991,0.05199558,0.0004388413,0.00002799951,0.0001773815,0.02626819,0.7784474,0.0004320214,0.00006955802,0.1410085,0.0005575981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823393,0.000106041,0.0002844283,0.002780101,0.001626973,0.0009421078,0.0008338329,0.000323425,0.01076378],"genre_scores_gemma":[0.9990053,0.00003259236,0.00007101517,0.0001374628,0.0000975249,0.00004873538,0.00007004257,0.00001058054,0.0005268126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5909165,"threshold_uncertainty_score":0.9995068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03093738677894175,"score_gpt":0.2486745034606281,"score_spread":0.2177371166816863,"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."}}