{"id":"W2806754090","doi":"10.4095/292691","title":"Field portable XRF in exploration and mining","year":2013,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Field (mathematics); Data science; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001415053,0.0001267809,0.0001831874,0.0001304336,0.00001851173,0.0000657001,0.00003589865,0.000188426,0.00019404],"category_scores_gemma":[0.00005233989,0.0001172444,0.00001465266,0.00007269648,0.000003729787,0.0002128633,0.00001485992,0.000184857,0.00001125307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003976146,"about_ca_system_score_gemma":0.00003735736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004498515,"about_ca_topic_score_gemma":0.0002040253,"domain_scores_codex":[0.9993811,0.00000322,0.000211416,0.0001295652,0.0001304574,0.000144281],"domain_scores_gemma":[0.9997963,0.00002866268,0.00002932552,0.00008306028,0.00003001783,0.00003261197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002941438,0.00001566729,0.006625339,0.002837006,0.00005858506,0.00005223802,0.001197133,0.0129665,0.000433212,0.00006353013,0.7364454,0.2393025],"study_design_scores_gemma":[0.00101632,0.0002221848,0.00255058,0.005561408,0.0001189225,0.000203281,0.002439912,0.2607242,0.003450908,0.001675298,0.7185293,0.003507609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.118261,0.003135595,0.001359867,0.00009810905,0.0008958369,0.0001435787,0.00000148551,0.0002862569,0.8758183],"genre_scores_gemma":[0.9068905,0.003769925,0.002540351,0.00005306593,0.0005823266,0.00007020219,0.00006964978,0.00007994742,0.085944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7898743,"threshold_uncertainty_score":0.478109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04535528317491645,"score_gpt":0.2623882135462819,"score_spread":0.2170329303713655,"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."}}