{"id":"W4410814647","doi":"10.1016/j.ecoinf.2025.103229","title":"Architecture and implementation of ulrb algorithm in R","year":2025,"lang":"en","type":"article","venue":"Ecological Informatics","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Dalhousie University","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Architecture; Informatics; Ecology; Biology; Geography; Engineering; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005235371,0.004181742,0.002342755,0.002382048,0.0009625757,0.003984007,0.005799609,0.001782964,0.05258205],"category_scores_gemma":[0.02187883,0.002116451,0.002770813,0.001743573,0.001057295,0.002061643,0.003025918,0.003620467,0.08292891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166473,"about_ca_system_score_gemma":0.003053842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006523733,"about_ca_topic_score_gemma":0.004441292,"domain_scores_codex":[0.9944729,0.00167182,0.0006150766,0.001725882,0.001118417,0.0003958559],"domain_scores_gemma":[0.9948636,0.002134511,0.0003828208,0.0009793153,0.00136878,0.0002710012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002095716,0.0003132728,0.007467731,0.002996675,0.0008245228,0.000772846,0.0008627156,0.04560279,0.01616239,0.01671555,0.4766231,0.4295626],"study_design_scores_gemma":[0.001774886,0.0003788287,0.005201704,0.0006154957,0.0004444463,0.0009347868,0.0003631169,0.4098692,0.03744692,0.07228558,0.4700918,0.0005932468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002282309,0.0006925904,0.6032014,0.0006474211,0.0002919469,0.0005593635,0.009835695,0.3780934,0.004395868],"genre_scores_gemma":[0.0351876,0.0007255561,0.8402193,0.001285794,0.0001671831,0.003706215,0.03040193,0.08169898,0.006607439],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05258205,"threshold_uncertainty_score":0.1759045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007606011647284908,"score_gpt":0.3167061536153346,"score_spread":0.3091001419680496,"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."}}