{"id":"W4387848715","doi":"10.1145/3583780.3615460","title":"Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles","year":2023,"lang":"en","type":"article","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Climate model; Cloud computing; Computer science; Code (set theory); Climate change; Data science; Data mining","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":[0.0008966416,0.0007408088,0.0006369939,0.001272329,0.0004715068,0.001234145,0.001380326,0.0007316215,0.002853857],"category_scores_gemma":[0.005021052,0.000439324,0.001151133,0.0007693329,0.0006376636,0.001184495,0.001087326,0.001240809,0.0003684484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096415,"about_ca_system_score_gemma":0.001793867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149845,"about_ca_topic_score_gemma":0.01294112,"domain_scores_codex":[0.9996954,0.00008780436,0.00001695334,0.0001022199,0.00006060706,0.00003694152],"domain_scores_gemma":[0.9981716,0.001222367,0.0001839302,0.0001660225,0.0001780428,0.00007806737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001660551,0.0000145489,0.001873058,0.00003560464,0.00003630857,0.00002251312,0.00001998706,0.9839425,0.0004226932,0.007752189,0.0006751688,0.005188888],"study_design_scores_gemma":[0.000003244221,0.000003048199,0.0001417349,0.000001874891,0.000002633519,0.000003121756,0.000003608575,0.9927087,0.00008473297,0.006742353,0.0003023053,0.000002567565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.060201,0.0002459013,0.9300268,0.0006198483,0.00006424951,0.000113805,0.002675547,0.001860039,0.00419282],"genre_scores_gemma":[0.7456107,0.0002913326,0.2463859,0.0003094577,0.0001010774,0.000470181,0.004180473,0.0004487499,0.002202078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0149845,"threshold_uncertainty_score":0.02979451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08297052789116648,"score_gpt":0.3451756485194867,"score_spread":0.2622051206283202,"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."}}