{"id":"W4390640193","doi":"10.1016/j.gexplo.2024.107397","title":"Portable XRF applied to regional bedrock mapping in Quebec, Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Geochemical Exploration","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Institut National de la Recherche Scientifique","funders":"","keywords":"Bedrock; Geology; Geologic map; Lithology; Field (mathematics); Precambrian; Mafic; Calibration; Geochemistry; Remote sensing; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004258442,0.0004218873,0.0003013113,0.001686597,0.001368668,0.001121286,0.0007586231,0.0003525488,0.005796445],"category_scores_gemma":[0.001028316,0.0002373124,0.0002519764,0.002961985,0.0002063678,0.0003237518,0.0003237999,0.0002340541,0.001060279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006928539,"about_ca_system_score_gemma":0.008641976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993108,"about_ca_topic_score_gemma":0.9971606,"domain_scores_codex":[0.9997295,0.00002080203,0.00001508421,0.00007437836,0.0001000925,0.0000601518],"domain_scores_gemma":[0.9992377,0.00005479684,0.00003155144,0.00002610132,0.0006120587,0.00003786823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005718759,0.0002988246,0.4550347,0.0006014114,0.0003031899,0.001288119,0.002336242,0.0410667,0.07058782,0.001175595,0.03373341,0.3930021],"study_design_scores_gemma":[0.00006290285,0.00004690736,0.9301105,0.00007579324,0.00008965536,0.0001239683,0.00184559,0.04398347,0.005242829,0.0001127845,0.01825792,0.00004770123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435086,0.0009032122,0.01146317,0.0003347606,0.00004610728,0.0003396682,0.02234522,0.001339773,0.01971952],"genre_scores_gemma":[0.9576079,0.0004348161,0.02089646,0.0000948222,0.000007311261,0.00009876663,0.00588359,0.0001640773,0.01481228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006928539,"threshold_uncertainty_score":0.05027026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829734104191907,"score_gpt":0.1960965480407796,"score_spread":0.1777992069988605,"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."}}