{"id":"W593913926","doi":"","title":"An object-oriented approach to urban land-cover and land-use classification","year":2007,"lang":"en","type":"book","venue":"TSpace","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Land cover; Cover (algebra); Land use; Object based; Geography; Object (grammar); Computer science; Artificial intelligence; Engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000271511,0.0002665992,0.0002868537,0.0001825258,0.0001311577,0.0001628783,0.0001328173,0.0003100441,0.0001489613],"category_scores_gemma":[0.00002975381,0.0002083968,0.00004688275,0.0001273114,0.00005775501,0.0001284544,0.000008491022,0.0003062563,0.0003790153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001354841,"about_ca_system_score_gemma":0.00009507762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003102409,"about_ca_topic_score_gemma":0.0009842078,"domain_scores_codex":[0.9986082,0.00006332608,0.0001799942,0.0005128197,0.0003100845,0.0003255247],"domain_scores_gemma":[0.9990044,0.0001031903,0.00009996961,0.0004161386,0.00005346234,0.0003228747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001124546,0.0002083037,0.4657198,0.0003367377,0.0002398581,0.0001200294,0.01577075,0.002968235,0.00005659744,0.0006505774,0.380406,0.1323987],"study_design_scores_gemma":[0.0003201888,0.0001964183,0.1973577,0.00006116283,0.00005161747,0.00003342104,0.0001036192,0.0130076,0.00000536053,0.00004196259,0.7883559,0.0004649862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08877176,0.0004752007,0.0008539762,0.00008791353,0.0003992146,0.0004235798,0.00009090412,0.0001696397,0.9087278],"genre_scores_gemma":[0.07516196,0.0001816193,0.003060307,0.0006015685,0.000884836,3.178997e-7,0.00284751,0.00002772431,0.9172341],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.40795,"threshold_uncertainty_score":0.8498176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135734154303507,"score_gpt":0.2614653427113379,"score_spread":0.2301080011683028,"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."}}