{"id":"W2021698410","doi":"10.1007/bf02480874","title":"Appendix BELCAM Roofing Data Collection Protocol and integration with predictive tools","year":2003,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Works and Government Services Canada","funders":"","keywords":"Solid mechanics; Protocol (science); Data collection; Engineering; Computer science; Mathematics; Statistics; Materials science; Medicine; Composite material; Pathology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002146551,0.0006642716,0.0006722795,0.004276395,0.001170647,0.001008925,0.002067761,0.0009816062,0.331026],"category_scores_gemma":[0.0162685,0.0007338721,0.000360694,0.004261354,0.0004112808,0.00140691,0.0009430301,0.0007741957,0.1680166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009336482,"about_ca_system_score_gemma":0.002567616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392587,"about_ca_topic_score_gemma":0.01557367,"domain_scores_codex":[0.9983551,0.0002221793,0.0002453355,0.0001731401,0.0008897671,0.0001145741],"domain_scores_gemma":[0.9777379,0.003909265,0.0005909388,0.003845983,0.01351208,0.0004038191],"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":[0.0002840034,0.0001336878,0.002256339,0.0005404207,0.00001310509,0.0001300165,0.0001430896,0.003098442,0.004403065,0.002427553,0.8619666,0.1246036],"study_design_scores_gemma":[0.000256448,0.0001149029,0.01572493,0.0003048063,0.00004861664,0.0002492368,0.0004021772,0.01376299,0.01783861,0.007068123,0.9440893,0.0001397926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.006365806,0.0001394944,0.1770221,0.0004364879,0.00077217,0.006141724,0.6836036,0.03441803,0.09110049],"genre_scores_gemma":[0.02980238,0.0002653991,0.2368977,0.0005370126,0.0002652818,0.01673542,0.6308004,0.007090665,0.07760574],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.331026,"threshold_uncertainty_score":0.9542102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193811589616463,"score_gpt":0.2333811954815527,"score_spread":0.2140000365199064,"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."}}