{"id":"W2391864313","doi":"","title":"The Development and Application of Analysis Model for Spatial Features' Distribution Change","year":2004,"lang":"en","type":"article","venue":"Yaogan jishu yu yingyong","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Polygon (computer graphics); Cartography; Change analysis; Distribution (mathematics); Geographic information system; Geography; Land use; Land use, land-use change and forestry; Change detection; Feature (linguistics); Transformation (genetics); Product (mathematics); Population; Computer science; Data mining; Remote sensing; Physical geography; Engineering; Civil engineering; Mathematics","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":[0.000211435,0.00006904496,0.0001024316,0.00003294816,0.0002988918,0.00003813493,0.000066101,0.00004224549,0.000001066101],"category_scores_gemma":[0.00002302542,0.0000455583,0.00004231698,0.0001613445,0.00003777735,0.0000553493,0.000004935961,0.00004344498,0.000001595009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006071719,"about_ca_system_score_gemma":0.00002556806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393259,"about_ca_topic_score_gemma":0.01577456,"domain_scores_codex":[0.9994542,0.00001063206,0.0001354739,0.0001421144,0.0001154142,0.0001421628],"domain_scores_gemma":[0.9996754,0.00005266276,0.00007690067,0.000109924,0.00003855351,0.0000465608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006690123,0.00001285326,0.06519376,0.00002021387,0.00008807066,4.285941e-7,0.001919054,0.02453622,0.00002322879,0.0002686484,0.00002737087,0.9078432],"study_design_scores_gemma":[0.0002689903,0.00002422275,0.5828958,0.000007961478,0.00008470273,0.000001387009,0.00009205978,0.4138417,0.0004528099,0.0005156134,0.001723039,0.00009175104],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80063,0.0003098642,0.1981209,0.0003000988,0.00005839624,0.0002631042,0.00007636122,0.0000218258,0.0002193907],"genre_scores_gemma":[0.9971046,0.00003173918,0.002307452,0.00002765474,0.00005055611,0.000001450348,0.0004404584,0.000001730332,0.00003431159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9077515,"threshold_uncertainty_score":0.8802574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947503452788261,"score_gpt":0.2244366110678944,"score_spread":0.2049615765400118,"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."}}