{"id":"W2381529906","doi":"","title":"RESEARCH PROGRESS OF FIELD WORKING SYSTEM OF COMPUTER-AIDED REGIONAL GEOLOGICAL SURVEY","year":2003,"lang":"en","type":"article","venue":"Advance in Earth Sciences","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laptop; Field (mathematics); Computer science; Key (lock); China; Data science; Systems engineering; Engineering management; Geography; Engineering; Archaeology; Computer security","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":[0.007083256,0.0004274963,0.0004067371,0.003931026,0.001069171,0.002746307,0.001471623,0.0006448851,0.005130048],"category_scores_gemma":[0.01077397,0.0003648677,0.0003533992,0.005591396,0.0009718409,0.004583977,0.0009695233,0.0005669859,0.002173713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002889051,"about_ca_system_score_gemma":0.004481442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022549,"about_ca_topic_score_gemma":0.008254874,"domain_scores_codex":[0.9959293,0.001453885,0.0002242679,0.0008924382,0.001346658,0.0001533562],"domain_scores_gemma":[0.9893343,0.00248281,0.0005716867,0.001408407,0.005755343,0.0004475308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001127824,0.00008840246,0.05503512,0.0005925215,0.00004762474,0.00009001855,0.00208816,0.004231561,0.003333604,0.02227205,0.01557895,0.8965291],"study_design_scores_gemma":[0.000114164,0.0007089134,0.1362231,0.0009615162,0.0002543693,0.001380304,0.005782698,0.0855922,0.02236733,0.01496957,0.7313963,0.0002493864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3093823,0.03389593,0.4894551,0.009467497,0.0009704967,0.001372335,0.003357978,0.005448255,0.1466502],"genre_scores_gemma":[0.7072192,0.0195024,0.2322529,0.000707984,0.0003684823,0.0006826388,0.004484576,0.0005460269,0.03423573],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02022549,"threshold_uncertainty_score":0.04021555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336988815803511,"score_gpt":0.4019375731860605,"score_spread":0.2682386916057094,"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."}}