{"id":"W4401249289","doi":"10.1016/j.ecolind.2024.112407","title":"Accuracy, uncertainty, and biases in cumulative pressure mapping","year":2024,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nature Conservancy of Canada; University of Northern British Columbia","funders":"","keywords":"Environmental science; Computer science; Econometrics; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001814278,0.0001344496,0.0001668434,0.0002734079,0.00004099628,0.00004358148,0.0001144926,0.0001713408,0.0001125885],"category_scores_gemma":[0.0002354715,0.0001063266,0.00002492363,0.0004221862,0.00006612641,0.0001086207,0.00007058047,0.0003629603,0.00001211328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133705,"about_ca_system_score_gemma":0.00001797622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003158538,"about_ca_topic_score_gemma":0.00001121622,"domain_scores_codex":[0.9991438,0.00003743556,0.0002157995,0.0002133452,0.000091814,0.0002977417],"domain_scores_gemma":[0.9990366,0.000754755,0.00001756145,0.00009286032,0.000005303852,0.00009291973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003502176,0.00009517253,0.263786,0.002267246,0.0002756516,0.0006851617,0.006709415,0.03536573,0.0008449104,0.01030801,0.01477638,0.6648514],"study_design_scores_gemma":[0.0001151195,0.0000813908,0.9056595,0.0002918128,0.00001098693,0.00001272199,0.0001217196,0.05624599,0.000716158,0.004918411,0.03153306,0.0002931395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945189,0.002807054,0.00002193363,0.0001345567,0.0003991354,0.000243813,0.00000961665,0.00110626,0.0007586958],"genre_scores_gemma":[0.9987797,0.0003512671,0.0006263174,0.00003383731,0.0001039632,0.00006247366,0.000003727241,0.00001560468,0.00002315129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6645582,"threshold_uncertainty_score":0.4335872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04382406911449226,"score_gpt":0.3306051502297978,"score_spread":0.2867810811153055,"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."}}