{"id":"W6950742038","doi":"10.5281/zenodo.6779692","title":"IPCC AR6 WGI - Figure 3.28","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Victoria","funders":"","keywords":"Table (database); Code (set theory); Climate change; Economic analysis","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":[0.001318393,0.00219963,0.0007875293,0.003331152,0.0006354428,0.001782613,0.002037897,0.00106712,0.2883778],"category_scores_gemma":[0.002690867,0.000825296,0.001067035,0.009368245,0.000460012,0.002095802,0.001122782,0.002287681,0.2679457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477142,"about_ca_system_score_gemma":0.002640777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03513065,"about_ca_topic_score_gemma":0.01597007,"domain_scores_codex":[0.9990731,0.0001220298,0.00005344368,0.0001341636,0.0005078014,0.0001093611],"domain_scores_gemma":[0.9984053,0.0001442642,0.00009820444,0.0003693446,0.0008983641,0.00008457353],"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":[0.0000538886,0.00002238789,0.0002475195,0.0004641977,0.00001319233,0.00002184672,0.00004196905,0.001388416,0.0004754494,0.004427401,0.9726564,0.02018734],"study_design_scores_gemma":[0.00005336682,0.00001055967,0.001275494,0.0001048187,0.00001028424,0.00001827589,0.00002740053,0.0004655518,0.0006925056,0.003130883,0.9941952,0.00001574711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005230428,0.0002405944,0.01233485,0.0003059875,0.0006463458,0.0004961011,0.7512528,0.01423393,0.2199663],"genre_scores_gemma":[0.006558272,0.0008253024,0.0281813,0.0004654074,0.0002030244,0.002044854,0.8521208,0.01785445,0.09174664],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2883778,"threshold_uncertainty_score":0.9647199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136691638133492,"score_gpt":0.2046482725151824,"score_spread":0.1832813561338474,"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."}}