{"id":"W7100820927","doi":"","title":"Greenhouse Gas Emissions at the Urban Scale TOP-DOWN VERSUS BOTTOM-UP ESTIMATES OF GREENHOUSE","year":2016,"lang":"en","type":"article","venue":"","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Radiative forcing; Per capita; Population; Climate change; Greenhouse effect; Global warming; Range (aeronautics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001596289,0.0002224637,0.0001915183,0.00002382463,0.0002342075,0.00001651552,0.000379024,0.00008333293,0.06217601],"category_scores_gemma":[0.00004903444,0.0001098101,0.000127289,0.0001458582,0.0006287543,0.0002034184,0.0006432366,0.00007931848,0.002751426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378747,"about_ca_system_score_gemma":0.000004819286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501624,"about_ca_topic_score_gemma":0.002178463,"domain_scores_codex":[0.9985345,0.00003348331,0.0002581286,0.0003407747,0.0003798418,0.0004532631],"domain_scores_gemma":[0.9987531,0.000264126,0.0001005849,0.0006435452,0.000002685702,0.000235912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003300869,0.0002651043,0.3797198,0.00001056501,0.00003853318,0.00001053247,0.001165501,0.00002282596,0.4068507,0.00001326657,0.1707069,0.04086627],"study_design_scores_gemma":[0.005215569,0.001141931,0.3164532,0.0001359885,0.0002133036,0.00006601344,0.001472027,0.000367304,0.6144498,0.0004869168,0.05886148,0.001136502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788224,0.0000602874,0.0000606357,0.001819194,0.0001992272,0.000205234,0.00006075286,0.00007941321,0.01869291],"genre_scores_gemma":[0.9796195,0.0003420529,0.0003129177,0.0002041918,0.00005185014,0.00001837297,0.000008367538,0.00003640888,0.01940632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2075991,"threshold_uncertainty_score":0.9980251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300667205594383,"score_gpt":0.2602812203444904,"score_spread":0.2302144997850521,"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."}}