{"id":"W4409484077","doi":"10.1038/d41586-025-01149-1","title":"Meet the researchers pioneering Spanish climate solutions","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Data science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0007511495,0.00003602716,0.00003959783,0.00004845472,0.001180982,0.0001408265,0.0002459524,0.0001965533,0.0001592255],"category_scores_gemma":[0.000180193,0.00002662278,0.00003691396,0.0004435494,0.0001149426,0.00006541936,0.0001236021,0.0005641499,0.0000196618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000681625,"about_ca_system_score_gemma":0.0000934775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000646392,"about_ca_topic_score_gemma":0.008886609,"domain_scores_codex":[0.9993051,0.0000749664,0.00005547216,0.00009814237,0.000209771,0.0002565248],"domain_scores_gemma":[0.9996859,0.00007694138,0.00001261247,0.000131845,0.00006451884,0.00002814956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001596553,0.000007861381,0.0001642923,0.000004664946,0.000009003943,6.717488e-7,0.0008672408,0.00001617807,0.00001042764,0.9289322,0.06579073,0.004195072],"study_design_scores_gemma":[0.00005660041,0.000003852499,0.00336985,0.00002854572,0.00001054276,4.508853e-8,0.009091515,0.0001457889,0.000006779357,0.0173537,0.9698891,0.00004369899],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00554125,0.001144887,0.000217778,0.13942,0.0006695422,0.0002520044,0.000008063711,0.0000943063,0.8526521],"genre_scores_gemma":[0.9931517,0.0004290515,0.00007917923,0.0009434507,0.00009548258,0.00001717495,0.00000194567,0.000001893162,0.005280164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9876104,"threshold_uncertainty_score":0.908328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04902927126085582,"score_gpt":0.3730958793044827,"score_spread":0.3240666080436269,"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."}}