{"id":"W2757053924","doi":"10.2139/ssrn.3035166","title":"Challenges and Opportunities for Integrated Modeling of Climate Engineering","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adaptation (eye); Climate change mitigation; Climate change; Environmental resource management; Global warming; Complement (music); Climate policy; Set (abstract data type); Computer science; Risk analysis (engineering); Environmental science; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004457173,0.001186668,0.003123008,0.001109246,0.001231511,0.007273179,0.003958813,0.003460244,0.005778014],"category_scores_gemma":[0.01056693,0.001033137,0.002366475,0.002030511,0.002548898,0.0134483,0.006853219,0.006252587,0.001045525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002264325,"about_ca_system_score_gemma":0.005176591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622052,"about_ca_topic_score_gemma":0.01315262,"domain_scores_codex":[0.9981263,0.0008596991,0.0001224631,0.0002376798,0.0004791069,0.0001746625],"domain_scores_gemma":[0.9961205,0.001512774,0.0003219584,0.000929807,0.0006425903,0.0004724244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001096776,0.000518826,0.005458132,0.0002293287,0.0004633885,0.00006462897,0.0002942758,0.6727693,0.0009437252,0.2480552,0.004792548,0.06630094],"study_design_scores_gemma":[0.00003603552,0.00005763256,0.0009100811,0.00007959751,0.00006479346,0.00002829192,0.0002503829,0.7520189,0.0002529328,0.2288255,0.01742828,0.00004760733],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1077685,0.01142403,0.7607034,0.04054453,0.001523862,0.0002165187,0.001475908,0.002593391,0.07374983],"genre_scores_gemma":[0.7449627,0.009814777,0.2315494,0.002492496,0.0009854075,0.000520321,0.001524261,0.0005990388,0.007551578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01622052,"threshold_uncertainty_score":0.03225219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06747349784666547,"score_gpt":0.2558466248724255,"score_spread":0.18837312702576,"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."}}