{"id":"W4231909901","doi":"10.46427/gold2020.1279","title":"Potential Genomic Applications in the Mining Industry","year":2020,"lang":"en","type":"article","venue":"Goldschmidt Abstracts","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agnico Eagle (Canada)","funders":"","keywords":"Computer science; Data science; Mining industry; Engineering; Mining engineering","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":[0.003956142,0.0006581603,0.0005677403,0.002201068,0.0007411675,0.003304295,0.001694681,0.002212391,0.02276093],"category_scores_gemma":[0.01300811,0.0003295423,0.0007043254,0.006233447,0.001230979,0.003247383,0.001455791,0.001014764,0.006389768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042263,"about_ca_system_score_gemma":0.00228468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001977293,"about_ca_topic_score_gemma":0.002455421,"domain_scores_codex":[0.998427,0.0008445806,0.00007616217,0.0002342043,0.0002887639,0.000129245],"domain_scores_gemma":[0.987959,0.007309937,0.0004217565,0.001581572,0.001853341,0.00087446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001049664,0.0002900293,0.01390794,0.00107167,0.00007427509,0.001485719,0.00121163,0.004795748,0.01855195,0.1227982,0.0518627,0.7829006],"study_design_scores_gemma":[0.0001816121,0.0004323503,0.01634957,0.001130516,0.0001361271,0.001503529,0.002742631,0.01323452,0.01858922,0.4810133,0.4645947,0.00009193346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1481795,0.07139154,0.3248985,0.2797672,0.004204613,0.0004645107,0.01055937,0.008074568,0.1524603],"genre_scores_gemma":[0.5816305,0.04248226,0.30888,0.01375485,0.003354314,0.0002262769,0.01361092,0.0008909436,0.03516989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02276093,"threshold_uncertainty_score":0.07614291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158538642565832,"score_gpt":0.2758184271512831,"score_spread":0.2542330407256248,"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."}}