{"id":"W7098202636","doi":"","title":"Published by Canadian Center of Science and Education 127 Tackling Causes of Frequent Building Collapse in Nigeria","year":2015,"lang":"en","type":"article","venue":"","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blame; Government (linguistics); Quality (philosophy); Building industry; Relation (database); Public opinion","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001372543,0.0005111098,0.0006874694,0.003229194,0.005603444,0.006420089,0.001278832,0.002739704,0.4983018],"category_scores_gemma":[0.004823698,0.0004370029,0.000386788,0.003691276,0.002335721,0.001457205,0.00245821,0.002381053,0.1339278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01376042,"about_ca_system_score_gemma":0.0640415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5852029,"about_ca_topic_score_gemma":0.78806,"domain_scores_codex":[0.9987674,0.0001175795,0.00006013926,0.0001567656,0.0006764397,0.0002218101],"domain_scores_gemma":[0.9944659,0.0004177628,0.0001535754,0.0003292117,0.003639136,0.0009945268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001697656,0.00006438886,0.002608113,0.0002653459,0.000007184031,0.0003269487,0.0004649626,0.0001062452,0.0003775976,0.01778756,0.7730755,0.2048991],"study_design_scores_gemma":[0.000001483824,0.000003978905,0.001712295,0.0001414091,0.000002009192,0.00008282259,0.0003672371,0.00005082164,0.00006428822,0.0005868354,0.9969812,0.000005711315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001631178,0.004769444,0.001286552,0.03296294,0.003618453,0.0001365505,0.003503224,0.0003957875,0.9516959],"genre_scores_gemma":[0.01635222,0.008656888,0.002787546,0.003614749,0.0002850669,0.00005944764,0.001717983,0.0001661777,0.9663599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5852029,"threshold_uncertainty_score":0.8344798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237823421123475,"score_gpt":0.2661657302321475,"score_spread":0.2537874960209128,"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."}}