{"id":"W3185696656","doi":"10.3390/min11080819","title":"Chemical Characteristics of Ore-Bearing Intrusions and the Origin of PGE–Cu–Ni Mineralization in the Norilsk Area","year":2021,"lang":"en","type":"article","venue":"Minerals","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Ministry of Science and Higher Education of the Russian Federation","keywords":"Geology; Geochemistry; Mineralization (soil science); Massif; Wall rock; Intrusion; Silicate; Fractional crystallization (geology); Basalt; Genetic model; Sulfide; Platinum group; Mineralogy; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002512134,0.00006913755,0.0002224266,0.00002339898,0.00002987593,0.00001489928,0.000128638,0.00004061699,0.001243127],"category_scores_gemma":[0.0003462243,0.00003229151,0.00004915351,0.0003483608,0.000162142,0.00003040498,0.00002429702,0.00008407025,0.000003159256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.269446e-7,"about_ca_system_score_gemma":0.00001101297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003874088,"about_ca_topic_score_gemma":0.00216488,"domain_scores_codex":[0.9992738,0.0000888921,0.0002621545,0.0001206746,0.0001421484,0.0001122932],"domain_scores_gemma":[0.9993957,0.0003171288,0.00007844435,0.000124752,0.00005705214,0.00002689226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006173205,0.00005260062,0.9279198,0.00003321573,0.00002497603,0.00001053941,0.0005952807,0.0001454837,0.06633435,0.001905711,0.0003198221,0.002596465],"study_design_scores_gemma":[0.001082939,0.00004527805,0.9534754,0.00005929149,0.0001224787,0.0000268822,0.0004458475,0.01681588,0.01166261,0.01458671,0.001462542,0.0002142013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958469,0.0002459923,0.0000139462,0.001839797,0.00002920764,0.00005069997,0.00002835183,0.0000027285,0.00194243],"genre_scores_gemma":[0.9990587,0.0001072059,0.0001965651,0.0002601629,0.00004300759,0.000001101536,0.0001441257,7.063232e-7,0.0001884416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05467173,"threshold_uncertainty_score":0.9996698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900627761660081,"score_gpt":0.2116272748244609,"score_spread":0.1926209972078601,"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."}}