{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001067285,0.0002209236,0.0002766426,0.00009775462,0.00003580199,0.00003593275,0.0002177479,0.0003507706,0.000454085],"category_scores_gemma":[0.000004580455,0.0002186188,0.00008881366,0.0002618327,0.00004021891,0.00006828875,0.00001766678,0.0007739736,0.0001026667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056078,"about_ca_system_score_gemma":0.00001552275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001193031,"about_ca_topic_score_gemma":0.00001781114,"domain_scores_codex":[0.9989252,0.00001351704,0.0002741814,0.0002159549,0.0001958698,0.0003752809],"domain_scores_gemma":[0.999404,0.00002741072,0.00003620671,0.0003579031,0.00002461578,0.0001498314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002152092,0.0001615219,0.6446835,0.0002482247,0.0008813012,0.0001370353,0.0003440265,0.3219147,0.01881884,0.003933615,0.007752179,0.001103508],"study_design_scores_gemma":[0.005179056,0.0007901597,0.09466469,0.0005771149,0.001944319,0.00007392739,0.001306514,0.4656874,0.07294904,0.001515913,0.3500061,0.0053058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320281,0.0002240141,0.00329831,0.00007877222,0.0005898055,0.0002001461,0.00004048338,0.0003481982,0.06319214],"genre_scores_gemma":[0.9979236,0.00001523794,0.0001654105,0.00005785806,0.0001659905,0.000009197615,0.00005336453,0.00003725849,0.001572151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5500188,"threshold_uncertainty_score":0.8915014,"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."}}