{"id":"W4281842269","doi":"10.1038/s41558-022-01410-9","title":"Author Correction: A climate club to decarbonize the global steel industry","year":2022,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Club; Environmental science; Business; Medicine","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":[0.003740333,0.001957094,0.001477786,0.002356221,0.004294916,0.005742901,0.003315505,0.01613938,0.03335341],"category_scores_gemma":[0.05699994,0.0009375204,0.001522827,0.001983721,0.002571182,0.002369611,0.002374123,0.02256516,0.02205856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005465899,"about_ca_system_score_gemma":0.008084139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0314355,"about_ca_topic_score_gemma":0.04670651,"domain_scores_codex":[0.9945723,0.0007750017,0.000564558,0.0008461283,0.002645552,0.0005963678],"domain_scores_gemma":[0.9659946,0.006347048,0.001678575,0.001980425,0.02191032,0.002089006],"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":[0.000008102041,0.000002728033,0.0000304624,0.00002840366,0.000004651276,0.00005493894,0.0000166617,0.00001788849,0.00001354282,0.0004004812,0.9982905,0.001131651],"study_design_scores_gemma":[0.00002929184,0.000009473712,0.0004980144,0.0001775318,0.00002051148,0.0001551351,0.0001227561,0.0001832642,0.0001889892,0.0009965642,0.9975942,0.00002431683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.00009559495,0.0006977392,0.0002695569,0.1151695,0.8802105,0.00001241693,0.0003494691,0.0001752562,0.003020015],"genre_scores_gemma":[0.0139014,0.004830776,0.00153954,0.2660594,0.4791012,0.0001387366,0.0006908388,0.0008077996,0.2329302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03335341,"threshold_uncertainty_score":0.1115783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019363542888103,"score_gpt":0.2959699927610527,"score_spread":0.2766064498729497,"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."}}