{"id":"W2379152594","doi":"","title":"Experimental Work on Geological Data and Information Services Cluster in Huangshi City","year":2012,"lang":"en","type":"article","venue":"","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Service (business); Visualization; Industrialisation; Cluster (spacecraft); Work (physics); Geological survey; Data science; Information system; Geology; Mining engineering; Computer science; Construction engineering; Data mining; Business; Engineering","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":[0.00009367594,0.00004187615,0.00004210031,0.00005053298,0.00001296679,0.00001160504,0.0001315846,0.00005804123,0.00004248407],"category_scores_gemma":[0.000006074655,0.00003291539,0.000002555086,0.00007533439,0.00001843241,0.0007846234,0.000148736,0.00005879609,0.00004657706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009260025,"about_ca_system_score_gemma":8.384566e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001496885,"about_ca_topic_score_gemma":0.000008703621,"domain_scores_codex":[0.9997165,0.000003014791,0.00006468374,0.00004631896,0.00003755065,0.0001319777],"domain_scores_gemma":[0.9998181,0.00001056875,0.000005863936,0.0001420419,0.000001957019,0.00002141034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000404374,0.000162971,0.9431243,0.00006180233,0.00001184512,0.000001810004,0.006490181,0.0007078609,0.001224919,0.007757062,0.006398537,0.03401827],"study_design_scores_gemma":[0.001124781,0.0001668689,0.8328287,0.00006380695,0.000005855064,0.00002388429,0.005561033,0.07016583,0.01400513,0.0001933075,0.0753204,0.000540422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941481,0.00006033085,0.0002135811,0.00009044934,0.00008318356,0.00004092939,0.000001321617,0.0001213825,0.005240764],"genre_scores_gemma":[0.998744,0.000004942758,0.0009316254,0.0002747781,0.0000110614,0.000004109754,0.00001384272,0.000001344902,0.0000143351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1102956,"threshold_uncertainty_score":0.1342251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260488323236636,"score_gpt":0.2477174408710858,"score_spread":0.2216686085474222,"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."}}