{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001531042,0.0008474766,0.0007828007,0.00165172,0.0005936567,0.001654076,0.001745551,0.001090949,0.001722574],"category_scores_gemma":[0.004488138,0.0005957212,0.001859068,0.001604225,0.000712859,0.002966893,0.0009779516,0.001392573,0.000787236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768484,"about_ca_system_score_gemma":0.001280077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02237205,"about_ca_topic_score_gemma":0.009064087,"domain_scores_codex":[0.9988433,0.0002844522,0.00007622393,0.000340748,0.0003651982,0.00009008259],"domain_scores_gemma":[0.998816,0.0005099499,0.0001007898,0.0001319124,0.0004044784,0.00003697448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005570001,0.00006066504,0.006406959,0.00009478821,0.0001045166,0.0002598983,0.0003248249,0.8110413,0.003857758,0.06512191,0.003506078,0.1091657],"study_design_scores_gemma":[0.000002801479,0.00000799177,0.0003233105,0.000004349826,0.00001019704,0.00004377264,0.00001827249,0.9910343,0.0006289468,0.005994651,0.001922698,0.000008682052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002992556,0.0000436177,0.9952639,0.0000929356,0.00001854891,0.00002470377,0.00007318374,0.0004688933,0.001021582],"genre_scores_gemma":[0.4305684,0.0006209893,0.5583391,0.0001384989,0.0001106075,0.0006001164,0.0008818432,0.0004945456,0.008246012],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02237205,"threshold_uncertainty_score":0.04448366,"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."}}