{"id":"W4402423648","doi":"10.24908/iqurcp17951","title":"Dendrochemical Analysis as a Method to Identify Mineralized Zones: Insights from the Marathon Cu-PGE Deposit","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Geology; Geochemistry; Mineralogy; Mining engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001459074,0.0001741141,0.0001274711,0.001510085,0.0003817607,0.0005205431,0.0001693554,0.0001444114,0.0003237049],"category_scores_gemma":[0.0001503668,0.0001131474,0.00008162099,0.0007746675,0.0001745605,0.0001817432,0.0001937197,0.0001340835,0.0001097261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004823442,"about_ca_system_score_gemma":0.000292228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01780581,"about_ca_topic_score_gemma":0.05642377,"domain_scores_codex":[0.9999269,0.000008899705,0.000004985901,0.00002361341,0.0000228463,0.00001270951],"domain_scores_gemma":[0.9998945,0.00001244863,0.00002535319,0.000004988213,0.00004544612,0.00001719565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001803359,0.00002212775,0.2485622,0.00009342359,0.00002362744,0.0002879801,0.001056627,0.0002262802,0.7287018,0.0002180761,0.00004802874,0.02057946],"study_design_scores_gemma":[0.000006257728,0.0001318534,0.9243022,0.00001112906,0.00002579228,0.0004497427,0.001094668,0.001857474,0.06907121,0.0001269552,0.002910816,0.00001196203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9984347,0.0002845415,0.0006383662,0.00001237283,0.000001311554,0.000005774295,0.00009507433,0.000008293594,0.0005195332],"genre_scores_gemma":[0.9961479,0.0003509374,0.002698598,0.000006218007,0.000002770943,0.000004936419,0.000147319,0.000005538544,0.0006357698],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01780581,"threshold_uncertainty_score":0.03540432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08135646638234548,"score_gpt":0.4030441581801301,"score_spread":0.3216876917977847,"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."}}