{"id":"W4417252170","doi":"10.1038/s41598-025-27461-4","title":"Application of UMAP to identify refined gold sources using chemical composition analysis","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Workflow; Cluster analysis; Traceability; Visualization; Projection (relational algebra); Data integration; Replicate; Similarity (geometry)","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":[0.0007621138,0.0006470695,0.0004649267,0.002249357,0.0004821183,0.001009548,0.0004735653,0.0004485806,0.0009732799],"category_scores_gemma":[0.002521574,0.0002111114,0.000649662,0.00157647,0.0004851324,0.0009813121,0.001363968,0.0006728371,0.0003748812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204892,"about_ca_system_score_gemma":0.0006882112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003105168,"about_ca_topic_score_gemma":0.003015101,"domain_scores_codex":[0.9995931,0.00009112478,0.00002771442,0.0001510069,0.00009434272,0.0000426251],"domain_scores_gemma":[0.9994422,0.0002080556,0.00007272982,0.0001272004,0.0001251408,0.000024762],"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":[0.0005098308,0.0002763511,0.06393591,0.0005105441,0.0003124786,0.0006919067,0.001052789,0.1621041,0.1560275,0.01667116,0.00267927,0.5952282],"study_design_scores_gemma":[0.000009500521,0.00008443723,0.01631744,0.00001436999,0.00003360007,0.0002330586,0.000326934,0.9312382,0.03818259,0.01073505,0.002785706,0.00003902858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3094122,0.0003660265,0.6850688,0.0001540004,0.00003380415,0.0001054371,0.0006971985,0.001874388,0.002288123],"genre_scores_gemma":[0.7133582,0.0002010459,0.2847004,0.00002695601,0.00001644587,0.00007162047,0.0007361081,0.000119031,0.0007703436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003105168,"threshold_uncertainty_score":0.006174207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372228549859293,"score_gpt":0.2851939760602167,"score_spread":0.2714716905616237,"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."}}