{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005144561,0.0004389065,0.000543646,0.0000748518,0.0001016088,0.00006239239,0.0007113302,0.0006804258,0.0016225],"category_scores_gemma":[0.0001703993,0.0003471104,0.0001944165,0.0001395377,0.0005081415,0.0001000476,0.0009272192,0.0005180012,0.004498647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002460406,"about_ca_system_score_gemma":0.0001383088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02916378,"about_ca_topic_score_gemma":0.0001662209,"domain_scores_codex":[0.9966753,0.0000495106,0.0005275662,0.0007587179,0.001421781,0.0005671973],"domain_scores_gemma":[0.9986036,0.00004804901,0.0002512634,0.0009516617,0.00002578867,0.0001195939],"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":[0.00008676023,0.001221012,0.1357803,0.0005513419,0.0006549139,0.002364598,0.000830085,0.000756127,0.09634002,0.0004064199,0.7491452,0.01186328],"study_design_scores_gemma":[0.001800204,0.0009268471,0.1970091,0.0007725144,0.0003876448,0.0010281,0.0006408495,0.00005344627,0.1334044,0.005353816,0.6542051,0.004417852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5094202,0.00008122633,0.0001154163,0.004072728,0.002426199,0.001903113,0.0001796936,0.005053898,0.4767475],"genre_scores_gemma":[0.2617481,0.001576867,0.03140955,0.0001249524,0.001224642,0.0002654287,0.0003216901,0.000318672,0.7030101],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2476721,"threshold_uncertainty_score":0.9998981,"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."}}