{"id":"W4212843126","doi":"10.1016/s1359-6128(19)30152-1","title":"Armstrong signs Net Zero Carbon Buildings Commitment","year":2019,"lang":"en","type":"article","venue":"Pump Industry Analyst","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zero (linguistics); Net (polyhedron); Zero-energy building; Architectural engineering; Zero emission; Carbon fibers; Business; Environmental science; Engineering; Computer science; Mathematics; Waste management; Electrical engineering; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002371101,0.000709257,0.0003103991,0.0007704312,0.005354706,0.006110296,0.001499609,0.007995964,0.038143],"category_scores_gemma":[0.005620793,0.0005129009,0.0005762503,0.0006000209,0.001795601,0.002338605,0.003327143,0.008659716,0.007971081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01523041,"about_ca_system_score_gemma":0.07187572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6303713,"about_ca_topic_score_gemma":0.8240886,"domain_scores_codex":[0.9932349,0.0002948079,0.000061553,0.0002429364,0.005145606,0.001020152],"domain_scores_gemma":[0.9958088,0.0002347698,0.00007189703,0.0001868561,0.002389393,0.001308249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000995345,0.00006870668,0.0006859748,0.00005491892,0.000009968265,0.0001383366,0.0001167836,0.0003377509,0.001334557,0.06204575,0.919149,0.01595867],"study_design_scores_gemma":[0.00002006344,0.00003519411,0.001344125,0.00003564624,0.000004773241,0.00002865581,0.0001745351,0.0002682481,0.0006334276,0.002321667,0.9951085,0.00002512908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01571918,0.001315925,0.004055872,0.1550157,0.01119034,0.0002780949,0.004201462,0.001528383,0.806695],"genre_scores_gemma":[0.05181829,0.0005702401,0.003817734,0.03980507,0.0002894125,0.0001011282,0.002075506,0.0003903109,0.9011323],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6303713,"threshold_uncertainty_score":0.7436111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904085580640383,"score_gpt":0.2018683174867164,"score_spread":0.1828274616803126,"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."}}