{"id":"W2909939083","doi":"10.1007/s10113-018-1453-0","title":"Shared socio-economic pathways extended for the Baltic Sea: exploring long-term environmental problems","year":2019,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"Stockholms Universitet; Havs- och Vattenmyndigheten","keywords":"Baltic sea; Nature Conservation; Term (time); Climate change; Environmental resource management; Environmental planning; Environmental protection; Natural resource economics; Environmental science; Geography; Economics; Ecology; Oceanography; Biology; Geology","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":[0.001261688,0.0004605499,0.000178462,0.001067098,0.001455997,0.003531913,0.0006530237,0.0008715529,0.002263461],"category_scores_gemma":[0.00174433,0.000142534,0.000514671,0.002630129,0.002030317,0.004267491,0.003169082,0.001282459,0.00007188158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005028383,"about_ca_system_score_gemma":0.003228947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02604605,"about_ca_topic_score_gemma":0.04284476,"domain_scores_codex":[0.9995149,0.0002868615,0.00002127069,0.00004324637,0.00005232068,0.00008131067],"domain_scores_gemma":[0.9994519,0.0002139943,0.000120855,0.00005322393,0.00007046905,0.00008956259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008766408,0.0001261648,0.04353371,0.0002187533,0.0002004254,0.002465563,0.01544652,0.1397248,0.0006081455,0.7563866,0.003117388,0.03808427],"study_design_scores_gemma":[0.00003638572,0.0001404313,0.05078656,0.0004923175,0.0001248103,0.0005747441,0.07832189,0.1014714,0.0005198707,0.6574569,0.1099843,0.00009041127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8910209,0.001756172,0.02358008,0.007844158,0.00009281652,0.0001467997,0.001235538,0.00004166924,0.07428186],"genre_scores_gemma":[0.9914554,0.0009166261,0.00587735,0.00007978853,0.0000058072,0.00009798931,0.0002925086,0.000007130373,0.001267353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02604605,"threshold_uncertainty_score":0.05178887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2530641240678672,"score_gpt":0.2416309392818217,"score_spread":0.01143318478604546,"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."}}