{"id":"W7010833496","doi":"","title":"Klima-Kampagnen für europäische Städte : eine explorative Studie","year":2024,"lang":"de","type":"article","venue":"Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographer; Human health; State (computer science); Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01108479,0.001162341,0.002832534,0.008309057,0.002721907,0.009518529,0.00128445,0.001492852,0.0170963],"category_scores_gemma":[0.02482537,0.001128461,0.003735406,0.01985398,0.001752218,0.007248067,0.005628114,0.003270452,0.002720821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008647304,"about_ca_system_score_gemma":0.01559603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05845032,"about_ca_topic_score_gemma":0.06878325,"domain_scores_codex":[0.9918705,0.002764596,0.001470606,0.0007758855,0.002120443,0.0009980423],"domain_scores_gemma":[0.9840128,0.009020344,0.002730705,0.0008282011,0.002835873,0.0005719365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001075072,0.001252059,0.2693758,0.05504535,0.003808839,0.002699462,0.06983221,0.002079889,0.0004483752,0.01771167,0.05922667,0.5174447],"study_design_scores_gemma":[0.0001941138,0.0007994846,0.3635539,0.05166261,0.004282474,0.001707744,0.1907252,0.0009726019,0.0006514287,0.005829515,0.3793773,0.0002437462],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5848497,0.2808498,0.006725457,0.009842512,0.001524261,0.002758269,0.04535374,0.0002091056,0.06788714],"genre_scores_gemma":[0.7019392,0.2531057,0.01321614,0.002530673,0.0003125298,0.003998873,0.01460011,0.0002358437,0.01006099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05845032,"threshold_uncertainty_score":0.1162202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006188710485983,"score_gpt":0.2343830787930787,"score_spread":0.1943211916882189,"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."}}