{"id":"W6949777341","doi":"10.5281/zenodo.3758548","title":"Astronomy in a Low-Carbon Future","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Herzberg Institute of Astrophysics; McGill University","funders":"","keywords":"Incentive; Greenhouse gas; Vetting; Curiosity; Climate change; Scholarship; Sustainability","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005781093,0.00006162775,0.00007602821,0.0001610344,0.000733643,0.0004253763,0.0004938965,0.00003734333,0.0206956],"category_scores_gemma":[0.00006193193,0.00006785057,0.00002677637,0.0004586304,0.00007453686,0.0001515401,0.0003607244,0.0001371109,0.004686482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434751,"about_ca_system_score_gemma":0.000005928265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002319509,"about_ca_topic_score_gemma":0.00002374578,"domain_scores_codex":[0.9989293,0.000214377,0.0001196445,0.0002211809,0.000243053,0.0002724994],"domain_scores_gemma":[0.9995406,0.000008421403,0.00004000918,0.0001986011,0.0001321098,0.00008031482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000068647,0.0003296444,0.0004257578,0.00009054457,0.00003655033,0.00001373941,0.01938048,0.0001705856,0.0003324635,0.2476941,0.04979437,0.6816631],"study_design_scores_gemma":[0.0002311773,0.00004663355,0.001962505,0.00002280269,0.000002188613,7.331507e-7,0.006327933,0.000110677,0.000005575911,0.0002273774,0.9909815,0.00008090798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1791961,0.00002694116,0.0002143929,0.002820832,0.0001673694,0.0004374355,0.00001136444,0.0002467646,0.8168788],"genre_scores_gemma":[0.996441,0.00005782571,0.00009383065,0.0000705573,0.0002073732,3.408863e-8,0.0001236721,0.0001948004,0.002810881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9411871,"threshold_uncertainty_score":0.9960885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032058851063481,"score_gpt":0.2463454310911373,"score_spread":0.2260248425805025,"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."}}