{"id":"W2747424275","doi":"10.1016/j.oregeorev.2017.08.025","title":"Low temperature alteration of magmatic Ni-Cu-PGE sulfides as a source for hydrothermal Ni and PGE ores: A quantitative approach using automated mineralogy","year":2017,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"Cardiff University; Natural Environment Research Council; University of Leicester; Sight Research UK","keywords":"Pentlandite; Chalcopyrite; Pyrrhotite; Geology; Pyrite; Geochemistry; Mineralogy; Sulfide; Trace element; Sulfide minerals; Copper; Metallurgy; Materials science","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":[0.0004059771,0.0003434829,0.0003679247,0.001098756,0.0002841249,0.001023859,0.0005195563,0.000342874,0.0009247591],"category_scores_gemma":[0.0004259587,0.0002899885,0.0003430844,0.0008539403,0.0004959151,0.0003743382,0.0005534125,0.0003724981,0.0004852643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004185305,"about_ca_system_score_gemma":0.0003340759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003212211,"about_ca_topic_score_gemma":0.004533069,"domain_scores_codex":[0.9995205,0.00002709101,0.00002257222,0.000176346,0.000216882,0.00003668081],"domain_scores_gemma":[0.9997186,0.00004862601,0.00007080518,0.00003936721,0.0001070524,0.0000155977],"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":[0.0001697077,0.00007955752,0.02048691,0.0002032433,0.00004507239,0.00007137675,0.0003564691,0.001581592,0.9408041,0.000313688,0.0001170349,0.03577127],"study_design_scores_gemma":[0.00002948876,0.0005080657,0.2325319,0.00003903588,0.0001056779,0.0004596053,0.0004905817,0.07430302,0.6825577,0.0006570205,0.008227662,0.00009031421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549744,0.0004298456,0.03865791,0.0000387999,0.00001219054,0.00017765,0.00240589,0.0006535456,0.002649815],"genre_scores_gemma":[0.9052622,0.0007091852,0.08751058,0.00003921103,0.00001691612,0.0002933972,0.002502315,0.0001459534,0.003520183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003212211,"threshold_uncertainty_score":0.006387055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506457732499151,"score_gpt":0.2803886041466179,"score_spread":0.2453240268216264,"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."}}