{"id":"W4407410383","doi":"10.1139/facets-2024-0180","title":"An ensemble machine learning bioavailable strontium isoscape for Eastern Canada","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Université Laval; University of Ottawa; Carleton University; Natural Resources Canada","funders":"Natural Resources Canada; Leverhulme Trust; UK Research and Innovation; McGill University","keywords":"Strontium; Bioavailability; Computer science; Chemistry; Biology; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00003568342,0.00009645415,0.0001104825,0.00001814445,0.0002111082,0.00005283497,0.0001392754,0.00001489993,0.0001711843],"category_scores_gemma":[0.000001009504,0.00009867621,0.00003882821,0.00008453123,0.00001051418,0.00005930309,0.0000291215,0.00008784424,0.00002718026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002132167,"about_ca_system_score_gemma":0.0001475667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1293713,"about_ca_topic_score_gemma":0.02214026,"domain_scores_codex":[0.9994342,0.00001146183,0.0001027653,0.0001902729,0.00005952924,0.0002018103],"domain_scores_gemma":[0.9996451,0.00001816425,0.0000422128,0.0001970598,0.00004347593,0.00005402389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006087411,0.0007662518,0.140938,0.00009465224,0.0004202413,6.61239e-7,0.0003075179,0.007745325,0.08186896,0.4616308,0.1553359,0.1508308],"study_design_scores_gemma":[0.0006302994,0.00004613609,0.002056314,0.00001625876,0.00003395312,6.070903e-8,0.0003652853,0.06539242,0.01067071,0.003861134,0.9166878,0.0002396127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7268138,0.0001680666,0.1640232,0.002325243,0.0005235677,0.001062971,0.0006580544,0.0001297077,0.1042954],"genre_scores_gemma":[0.985384,4.434536e-7,0.0005504927,0.00008128011,0.0001028465,0.00005028393,0.0001695201,0.0000147409,0.01364643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7613519,"threshold_uncertainty_score":0.9957032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006282628429666548,"score_gpt":0.2408598829116252,"score_spread":0.2345772544819587,"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."}}