{"id":"W4392760087","doi":"10.5194/egusphere-egu24-12925","title":"SESAME: Software tools for integrating Human - Earth System data","year":2024,"lang":"en","type":"preprint","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Software; Earth (classical element); Earth system science; Computer science; Earth observation; Systems engineering; Engineering; Geology; Operating system; Aerospace engineering; Physics","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":[0.004341434,0.002142006,0.001210653,0.004205617,0.0009239581,0.002774924,0.004011859,0.0009741171,0.03698002],"category_scores_gemma":[0.01201348,0.001571468,0.002984919,0.004938189,0.0005189483,0.005093039,0.004683754,0.003008485,0.01869914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008930253,"about_ca_system_score_gemma":0.00204503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210189,"about_ca_topic_score_gemma":0.01797536,"domain_scores_codex":[0.9984918,0.0002678383,0.0003226993,0.0003171998,0.000489141,0.000111444],"domain_scores_gemma":[0.9963361,0.001563464,0.0002663941,0.0009368815,0.0006608011,0.0002363081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000397288,0.0001784423,0.007174882,0.001924993,0.000590318,0.0003843055,0.001001329,0.01433336,0.003516573,0.02030413,0.8602723,0.08992209],"study_design_scores_gemma":[0.0003491493,0.00006827202,0.007894086,0.0003472922,0.00010325,0.0002603066,0.000363428,0.03534247,0.005744946,0.03079544,0.9185071,0.0002241865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005148589,0.0002973689,0.210774,0.0007515894,0.0005069236,0.0008708327,0.5464656,0.2243014,0.01088362],"genre_scores_gemma":[0.01353603,0.0004966232,0.2198738,0.00047995,0.00009133558,0.003055369,0.731966,0.02651035,0.00399062],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03698002,"threshold_uncertainty_score":0.1237105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4738245098148069,"score_gpt":0.4734325899532517,"score_spread":0.0003919198615552344,"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."}}