{"id":"W2169741998","doi":"10.1007/s11027-007-9092-7","title":"On integration of policies for climate and global change","year":2007,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climate change; Greenhouse gas; Context (archaeology); Political economy of climate change; Limiting; Ecological forecasting; Environmental resource management; Natural resource economics; Global warming; Climate policy; Adaptation (eye); Environmental planning; Business; Environmental science; Economics; Geography; Ecology","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":[0.0002011134,0.0001203348,0.0001158418,0.00002543684,0.0001004485,0.00004527051,0.0000376809,0.00006291531,0.00001419189],"category_scores_gemma":[0.00002226968,0.0001141741,0.00003436189,0.0001462418,0.00007629139,0.0003831628,0.00002339516,0.00002071775,0.000001838924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007633714,"about_ca_system_score_gemma":0.000003392176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004053735,"about_ca_topic_score_gemma":0.001800368,"domain_scores_codex":[0.9992858,0.000006522779,0.0001988014,0.0001758106,0.0001178273,0.0002152996],"domain_scores_gemma":[0.9996973,0.00005100092,0.0001006032,0.00005729346,0.00002916357,0.00006469739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000577846,0.0001276416,0.01728896,0.000563077,0.00003135835,0.000001489524,0.01336748,0.0001574806,0.003979558,0.652652,0.0004162228,0.3108369],"study_design_scores_gemma":[0.00334086,0.001810747,0.7868112,0.0003028847,0.0001024109,0.0000191456,0.04581807,0.05756427,0.001705039,0.09591819,0.005785522,0.0008216882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666861,0.0001865,0.02902902,0.0004759402,0.0001464609,0.0009215825,0.0005411286,0.00004538143,0.001967941],"genre_scores_gemma":[0.9973336,0.0001104609,0.001835765,0.0003399615,0.00009428933,0.0001223491,0.0001496469,0.00000574368,0.000008225164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7695222,"threshold_uncertainty_score":0.4655886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08198376513213208,"score_gpt":0.3130972155888625,"score_spread":0.2311134504567304,"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."}}