{"id":"W3129089658","doi":"10.2749/vancouver.2017.2483","title":"The 5% Solution","year":2017,"lang":"en","type":"article","venue":"Report","topic":"Climate Change and Sustainable Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nordion (Canada)","funders":"","keywords":"Carbon footprint; Tonne; Reduction (mathematics); Production (economics); Footprint; Metre; Structural integrity; Field (mathematics); Civil engineering; Environmental science; Engineering; Computer science; Waste management; Greenhouse gas; Structural engineering; Mathematics; Geology","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":[0.000309595,0.0000284243,0.00002561217,0.000001886583,0.001003881,0.00007001704,0.0001351089,0.00001292351,0.0002509461],"category_scores_gemma":[0.000101294,0.00001793045,0.00001474598,0.000009489367,0.00007737422,0.0000743979,0.0001874065,0.00002318732,0.0002487793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008593874,"about_ca_system_score_gemma":0.000006847248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003132715,"about_ca_topic_score_gemma":0.0001995631,"domain_scores_codex":[0.999594,0.000003441848,0.00007183299,0.00008408663,0.0001218876,0.0001247481],"domain_scores_gemma":[0.9995214,0.0000062582,0.00007295657,0.0003721674,0.000003846435,0.00002333072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001070959,0.00003266319,0.6865231,0.000005118151,0.00001108522,0.002005982,0.0005401673,0.00001031981,0.002075665,0.0003175421,0.1050334,0.2034343],"study_design_scores_gemma":[0.00002820851,0.000002826904,0.5508688,0.000001070648,0.000001196421,0.00008610434,0.00007161615,0.00003526616,0.0003183487,0.0006311538,0.4479207,0.0000347471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6780266,0.00001760412,0.00009106928,0.003359457,0.0002562628,0.00008655056,1.682936e-7,0.00001642108,0.3181458],"genre_scores_gemma":[0.9742746,0.000042739,0.00006472466,0.00004042867,0.00002671919,0.00001034142,0.000001065851,0.000002510933,0.02553692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3428873,"threshold_uncertainty_score":0.7721139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591249305532082,"score_gpt":0.2766909450036007,"score_spread":0.2507784519482799,"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."}}