{"id":"W2980757884","doi":"10.1016/j.jqsrt.2019.106707","title":"Mineralogical and lithological unmixing with radiative transfer modelling in the open-pit context of Mine Canadian Malartic","year":2019,"lang":"en","type":"article","venue":"Journal of Quantitative Spectroscopy and Radiative Transfer","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Université du Québec en Abitibi-Témiscamingue; Canadian Malartic (Canada); Golder Associates (Canada); Université de Sherbrooke","funders":"","keywords":"Lithology; Context (archaeology); Regolith; Grain size; Mineralogy; Radiative transfer; Geology; Range (aeronautics); Environmental science; Soil science; Geochemistry; Materials science; Geomorphology; Physics; Astrobiology","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":[0.001127704,0.0002222996,0.0005792787,0.0001727097,0.0001055529,0.0001092198,0.0005449556,0.00009398519,0.00003500281],"category_scores_gemma":[0.00004424818,0.0001266766,0.00007200891,0.0003983495,0.0002944228,0.0005822763,0.00002298739,0.0004939083,9.279669e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003940193,"about_ca_system_score_gemma":0.0001718832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008898181,"about_ca_topic_score_gemma":0.001466003,"domain_scores_codex":[0.9982247,0.0003831271,0.0004946757,0.0003129755,0.0002361621,0.0003483107],"domain_scores_gemma":[0.9987911,0.0006388887,0.0000874814,0.0001411162,0.0001852361,0.0001562067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001687794,0.0004902898,0.04657117,0.0002000296,0.0003944739,0.0006063502,0.08550906,0.01831934,0.03758197,0.8077528,0.00006155864,0.0008251621],"study_design_scores_gemma":[0.02809137,0.03228597,0.4785349,0.001873005,0.0004424894,0.002152319,0.05372642,0.2622947,0.0661573,0.06816439,0.003570037,0.002707075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8151976,0.001041752,0.1762592,0.005197902,0.00003809805,0.0003709053,0.00001112072,0.000003473927,0.001879961],"genre_scores_gemma":[0.9831511,0.0002404958,0.01610709,0.0004424636,0.00001817594,0.000005709348,0.000001219776,0.000003923433,0.0000298618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7395884,"threshold_uncertainty_score":0.5165723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119058671377252,"score_gpt":0.265986370947722,"score_spread":0.2347957842339495,"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."}}