{"id":"W4413547848","doi":"10.64628/aam.hktn5msgf","title":"Ontario can phase out nuclear and avoid increased carbon emissions","year":2020,"lang":"en","type":"article","venue":"","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phase (matter); Carbon fibers; Greenhouse gas; Environmental science; Natural resource economics; Business; Economics; Chemistry; Computer science; Geology; Oceanography; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001703685,0.00009214925,0.0001282027,0.00001625489,0.00006425247,0.00001700248,0.0000384841,0.0000326236,0.0001838575],"category_scores_gemma":[0.00001434631,0.00007985955,0.00002319189,0.00003392385,0.00002102998,0.00002951538,0.00003020856,0.0001384676,0.00001404365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004403102,"about_ca_system_score_gemma":0.00001078845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006583622,"about_ca_topic_score_gemma":0.01389045,"domain_scores_codex":[0.9996439,0.000006541159,0.00006667485,0.000104449,0.00005651807,0.0001219041],"domain_scores_gemma":[0.9997391,0.00001596622,0.000005545955,0.00006767976,0.000005881208,0.0001658322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003920834,0.0005781804,0.02923206,0.0006871643,0.001799392,0.0003533085,0.2239471,0.0007395725,0.4899968,0.001194414,0.2143418,0.03673808],"study_design_scores_gemma":[0.00612213,0.0005745938,0.01540182,0.00006999135,0.0002425248,0.00002977367,0.005070547,0.104952,0.009791552,0.00008593817,0.856231,0.001428125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291052,0.00006361659,0.00001951889,0.0009930141,0.00007180774,0.00006350335,0.000005459141,0.0002781991,0.06939968],"genre_scores_gemma":[0.9990206,0.00002379137,0.0001828284,0.0002785585,0.00005704865,0.00000108359,0.000001263291,0.00002056809,0.0004142593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6418891,"threshold_uncertainty_score":0.995251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717953075108663,"score_gpt":0.2102766607211118,"score_spread":0.1930971299700251,"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."}}