{"id":"W2806125636","doi":"10.2172/835005","title":"A REAL TIME COAL CONTENT ORE GRADE (C2OG) SENSOR","year":2004,"lang":"en","type":"report","venue":"","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Quarter (Canadian coin); Work (physics); Coal; Mining engineering; Environmental science; Computer science; Coal mining; Database; Real-time computing; Engineering; Geography; Waste management; Statistics; Archaeology; Mathematics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000378676,0.0003690142,0.0003558275,0.0007184275,0.0003979194,0.0007613117,0.0005710652,0.0006408227,0.005344965],"category_scores_gemma":[0.0003155356,0.0002264832,0.000156402,0.0006257101,0.0001767778,0.0005557375,0.0002759863,0.000461201,0.001990196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004378615,"about_ca_system_score_gemma":0.0007284707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003812983,"about_ca_topic_score_gemma":0.01176343,"domain_scores_codex":[0.9993796,0.00003154021,0.00001432685,0.00008998383,0.0004405064,0.00004390827],"domain_scores_gemma":[0.999678,0.00003352962,0.000017011,0.0000375131,0.0001968194,0.0000370292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008791903,0.0004185063,0.01891508,0.0002522859,0.00003456278,0.0002649344,0.0002167515,0.00257294,0.5889316,0.002164498,0.07667607,0.3086736],"study_design_scores_gemma":[0.0001658221,0.001340759,0.04522859,0.00004178596,0.0000753998,0.001069614,0.0002607183,0.05981802,0.6611768,0.0008375423,0.2298406,0.0001442756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4160691,0.0009387886,0.3871196,0.001721462,0.002288781,0.001508239,0.01908597,0.02400457,0.1472635],"genre_scores_gemma":[0.6791396,0.0005254475,0.2043259,0.0005677681,0.0001538862,0.0003577045,0.01060894,0.0005118851,0.103809],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005344965,"threshold_uncertainty_score":0.01788068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099394414729742,"score_gpt":0.3015551658816372,"score_spread":0.191615724408663,"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."}}