{"id":"W2770450738","doi":"","title":"Performance Evaluation of Equipment Used for Volumetric Water Content Measurements","year":2017,"lang":"en","type":"article","venue":"Depositum (Université du Québec en Abitibi-Témiscamingue)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; IAMGOLD; Polytechnique Montréal","keywords":"Tailings; Sulfur; Reflectometry; Water content; Chemistry; Sulfide; Mineralogy; Sulfide minerals; Environmental chemistry; Environmental science; Analytical Chemistry (journal); Pyrite; Time domain; Geology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005891807,0.0001838265,0.0002569295,0.0001215412,0.0004562181,0.00004949989,0.0004226466,0.00007468632,0.0000564962],"category_scores_gemma":[0.00007711777,0.0001701159,0.0001376269,0.00007733356,0.00006611102,0.0002611339,0.00009704122,0.00009153545,0.00003426682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000343184,"about_ca_system_score_gemma":0.00005793165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007305053,"about_ca_topic_score_gemma":0.00261838,"domain_scores_codex":[0.9987508,0.00004662476,0.0002283413,0.0002393983,0.0004464319,0.000288395],"domain_scores_gemma":[0.9988766,0.00006753828,0.000109939,0.0005010496,0.0003470574,0.00009776286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002005963,0.0001076257,0.01297659,0.0001500167,0.0001720948,0.000001074637,0.001336184,0.001253843,0.934141,0.00009840124,0.0002993265,0.04944371],"study_design_scores_gemma":[0.001760447,0.0001066724,0.7949765,0.00007107708,0.0003522999,0.000003030221,0.0001277034,0.08363446,0.1179265,0.00004438639,0.000694796,0.0003020561],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947175,0.00007928527,0.0494987,0.0001478157,0.0001897834,0.0006299687,0.00001091507,0.00007381134,0.002194771],"genre_scores_gemma":[0.9971523,0.00001075358,0.002395719,0.000009877322,0.0000824465,0.00007603738,0.00001821305,0.0000308242,0.0002238896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8162146,"threshold_uncertainty_score":0.9993054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05274965399665456,"score_gpt":0.2464213076217209,"score_spread":0.1936716536250664,"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."}}