{"id":"W2368977695","doi":"10.11873/j.issn.1004-0323.2003.5.306","title":"The Applications of High-resolution Satellite Images for Land Cover monitoring in Nanji Islands","year":2003,"lang":"en","type":"article","venue":"Yaogan jishu yu yingyong","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Land cover; Remote sensing; Cohen's kappa; Satellite; Shore; Cover (algebra); Vegetation (pathology); Geography; Cartography; Computer science; Land use; Geology; Engineering; Machine learning","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":[0.0003925637,0.00008768992,0.0001224101,0.00005529533,0.0002334306,0.00006125977,0.0001036747,0.00005233988,0.00001585486],"category_scores_gemma":[0.00007441333,0.00006016664,0.00004256879,0.0001897765,0.00005042166,0.00008863403,0.000003590918,0.00008658501,0.00001813226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005171633,"about_ca_system_score_gemma":0.00002655988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009340261,"about_ca_topic_score_gemma":0.0005720922,"domain_scores_codex":[0.9992251,0.00005358455,0.0001987334,0.0001607743,0.0001238562,0.000237925],"domain_scores_gemma":[0.9993382,0.0003212778,0.0000794163,0.0001771696,0.00004099767,0.00004299392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000509618,0.00001674541,0.8880523,0.00003350982,0.00001676914,0.000002057517,0.0003120706,0.002863343,0.0001494058,0.0002075145,0.0002200021,0.1080753],"study_design_scores_gemma":[0.0009157872,0.00008771752,0.8987753,0.0000682488,0.00002469359,0.00001004445,0.0002946384,0.003080419,0.004556394,0.002442839,0.08951368,0.0002302729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801122,0.002908953,0.002084684,0.0001326062,0.0005272282,0.0004631818,0.00005983225,0.00003981077,0.0136715],"genre_scores_gemma":[0.9976577,0.0005001322,0.001199223,0.00001257165,0.0001031066,0.000001567804,0.00002932437,0.000004215798,0.0004921619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1078451,"threshold_uncertainty_score":0.2453525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156071397386087,"score_gpt":0.22107541753867,"score_spread":0.2095147035648091,"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."}}