{"id":"W2092406980","doi":"10.1520/jai101055","title":"Understanding Low-Sloped Roofs Under Hurricane Charley From Field to Practice","year":2007,"lang":"en","type":"article","venue":"Journal of ASTM International","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Field (mathematics); Materials science; Forensic engineering; Environmental science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008646944,0.0002170954,0.0002265983,0.001201991,0.0007156674,0.0006753477,0.0005325876,0.0004525448,0.001986908],"category_scores_gemma":[0.001752603,0.0001756683,0.0001220956,0.0006164861,0.0005775972,0.0005601707,0.0003335833,0.0002817425,0.0003943121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979923,"about_ca_system_score_gemma":0.0004122108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01297581,"about_ca_topic_score_gemma":0.04176313,"domain_scores_codex":[0.9996213,0.00009512262,0.00002045451,0.00007175816,0.0001476092,0.00004374027],"domain_scores_gemma":[0.9982254,0.0005391025,0.000279631,0.0001405727,0.0007228313,0.00009244619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000402122,0.0008278191,0.6587082,0.0006011753,0.00004922954,0.003617214,0.01475742,0.03295839,0.09515708,0.001315169,0.004118023,0.1874882],"study_design_scores_gemma":[0.0000155262,0.001151978,0.909378,0.0001427014,0.00003515586,0.001132154,0.01785473,0.03808305,0.02344043,0.0009882427,0.007724679,0.00005336859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939388,0.00009468828,0.001793705,0.00007195842,0.00000343916,0.00003781895,0.0001715965,0.00005326475,0.003834684],"genre_scores_gemma":[0.9975103,0.00007539726,0.001702831,0.00001302926,0.000003953609,0.00000726595,0.0001193669,0.000007675792,0.0005602274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01297581,"threshold_uncertainty_score":0.02580059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03955016437014931,"score_gpt":0.2917040184410568,"score_spread":0.2521538540709075,"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."}}