{"id":"W2388425332","doi":"","title":"Design and Application of Tarim Desertification Monitoring and Early Warning System","year":2013,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Warning system; Early warning system; Watershed; Desertification; Field (mathematics); Tarim river; Tarim basin; Data collection; Data mining; Geology; Groundwater; Machine learning; Telecommunications","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":[0.0001019288,0.00008869831,0.0001125571,0.0001891411,0.0001627391,0.00004194139,0.0001831025,0.00007650783,9.740634e-8],"category_scores_gemma":[0.000002464968,0.00008571801,0.000004704601,0.0002271605,0.00007059541,0.0001850288,0.0002469072,0.00007297655,0.000002627159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002201483,"about_ca_system_score_gemma":0.00001829969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004433388,"about_ca_topic_score_gemma":3.970478e-8,"domain_scores_codex":[0.9993247,0.00001331213,0.0002072395,0.0002842935,0.00006576652,0.0001047187],"domain_scores_gemma":[0.9995411,0.0000519368,0.000103218,0.0001729062,0.00009430632,0.00003652813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001203928,0.00001792213,0.008042517,0.00004440891,0.00001296894,4.347562e-7,0.0004410212,0.0002723607,0.004200647,0.1278641,0.000007993313,0.8590944],"study_design_scores_gemma":[0.000468242,0.000180827,0.2555957,0.0001946195,0.000009076464,0.0001271207,0.0001224406,0.5841767,0.08969449,0.06718918,0.001697827,0.0005438222],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1429094,0.0002041635,0.8560255,0.0002775618,0.00001706341,0.0003069677,4.862331e-8,0.0002521294,0.000007097258],"genre_scores_gemma":[0.5034657,0.000009246249,0.4963807,0.000004909657,0.000003892909,0.0001307451,3.380299e-7,0.000002321136,0.000002245615],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8585505,"threshold_uncertainty_score":0.3495479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706473458100295,"score_gpt":0.2414640833892326,"score_spread":0.2243993488082297,"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."}}