{"id":"W2808895288","doi":"10.4095/308269","title":"Les systèmes minéralisateurs à oxydes de fer et altération à éléments alcalins (±calciques), et leurs gîtes IOA, IOCG, skarns, U±Au±Co (au sein d'albitites) et affiliés : une série de cours intensifs. Partie 2 :Aperçu général des types de gîtes, distribution, âges, contextes, exemples, faciès d'altération et modèles métallogéniques","year":2018,"lang":"fr","type":"report","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Skarn; Iron oxide copper gold ore deposits; Chemistry; Metallurgy; Materials science","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":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.007268384,0.002053509,0.002007222,0.0005094248,0.000991027,0.001181818,0.0007146893,0.002000299,0.000483984],"category_scores_gemma":[0.003044196,0.002032175,0.0007444036,0.0007826249,0.001014902,0.001864081,0.0002533075,0.002261567,0.00008435547],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005683861,"about_ca_system_score_gemma":0.004289081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08787075,"about_ca_topic_score_gemma":0.1070803,"domain_scores_codex":[0.9884671,0.003442111,0.002656834,0.001686473,0.001323293,0.002424175],"domain_scores_gemma":[0.993845,0.00111173,0.001221277,0.0009283235,0.001856282,0.001037314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001181272,0.00350699,0.3120824,0.008278396,0.006236548,0.0005331,0.02736854,0.04315384,0.1279487,0.2636645,0.1217795,0.0842663],"study_design_scores_gemma":[0.004735657,0.002450082,0.2661769,0.01388615,0.003630596,0.003548154,0.02733365,0.07459176,0.2063901,0.01334829,0.3728179,0.01109079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6218018,0.009983746,0.3250153,0.006097871,0.002188329,0.002679835,0.004989313,0.002380561,0.02486318],"genre_scores_gemma":[0.9315713,0.02088074,0.01254793,0.001974629,0.0008438418,0.0003689638,0.02320147,0.0003998015,0.008211321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3124674,"threshold_uncertainty_score":0.999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589982535180282,"score_gpt":0.3642871947439978,"score_spread":0.2052889412259696,"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."}}