{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003746221,0.0003527885,0.0004472623,0.0001155648,0.0002807552,0.00008143859,0.0004338159,0.000144665,0.00260874],"category_scores_gemma":[0.000004412164,0.0003652119,0.0003525688,0.00002970166,0.0001608565,0.0006556953,0.000224756,0.0001788594,0.005073514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009758511,"about_ca_system_score_gemma":0.000007567023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008398626,"about_ca_topic_score_gemma":0.00002310219,"domain_scores_codex":[0.9979929,0.00001442581,0.0005722445,0.00073997,0.00006069479,0.0006197951],"domain_scores_gemma":[0.9987903,0.0001700666,0.0003681592,0.0005247687,0.000001008104,0.0001456763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002638354,0.0008527322,0.9343251,0.0004221929,0.0006380791,0.000009663167,0.008303444,0.0004397857,0.001156799,0.04483942,0.001263127,0.007485826],"study_design_scores_gemma":[0.003997691,0.000424404,0.9204251,0.00008642786,0.00006211775,0.00006643179,0.00187913,0.01752085,0.0001924364,0.01008579,0.04360504,0.001654587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862301,0.005206949,0.000125815,0.001754991,0.0008615538,0.001803699,0.003448148,0.00004685319,0.0005218427],"genre_scores_gemma":[0.9896777,0.005603717,0.00006339027,0.0009629673,0.0008101357,0.001450261,0.0007360516,0.00009864752,0.0005970832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04234191,"threshold_uncertainty_score":0.99988,"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."}}