{"id":"W3171576143","doi":"10.2139/ssrn.3513900","title":"An Exploration of a Code of Conduct for Responsible Scientific Research Involving Geoengineering: Introduction, Draft Articles and Commentaries","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geoengineering; Engineering ethics; Code (set theory); Psychology; Code of conduct; Political science; Law; Engineering; Computer science; Climate change; Programming language; Biology; 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":[0.004711109,0.00006815611,0.0001153846,0.0001486921,0.0001686926,0.0000577418,0.000131542,0.00002778934,0.00002002564],"category_scores_gemma":[0.0002906008,0.00006412841,0.00002070974,0.0003148946,0.0002171832,0.0009372705,0.0000587627,0.0002882977,0.000001810442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003407347,"about_ca_system_score_gemma":0.0001661268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001167462,"about_ca_topic_score_gemma":0.001817069,"domain_scores_codex":[0.9985851,0.00006550353,0.0002191998,0.0001557026,0.0002859872,0.0006884849],"domain_scores_gemma":[0.9995078,0.00008030015,0.00007063342,0.0001466757,0.0001085217,0.00008611113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004605162,0.0002448178,0.008611109,0.00006850641,0.00006651274,9.680607e-7,0.01648837,0.01764667,0.8913085,0.05572222,0.003238139,0.006143607],"study_design_scores_gemma":[0.002596331,0.003423367,0.001488084,0.00008037263,0.00006398168,0.0001589519,0.09443682,0.02995925,0.286804,0.5661413,0.0143975,0.0004500505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916021,0.0009926913,0.005317034,0.001803051,0.000113604,0.0001462736,0.00000474508,0.000009645213,0.00001086746],"genre_scores_gemma":[0.9987518,0.000348118,0.0006745068,0.000005655758,0.00009837475,0.000008327105,0.000007833265,0.00001067414,0.00009472841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6045046,"threshold_uncertainty_score":0.2615081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1666658706844287,"score_gpt":0.3523727581830615,"score_spread":0.1857068874986328,"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."}}