{"id":"W4392167461","doi":"10.18280/isi.290137","title":"Supervised Machine Learning Algorithms for Land Cover Classification in Casablanca, Morocco","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land cover; Cover (algebra); Machine learning; Computer science; Artificial intelligence; Algorithm; Geography; Forestry; Land use; Engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004112695,0.0001896174,0.000187834,0.0003990097,0.00009628589,0.0003789387,0.00009954581,0.0001439931,0.00002171074],"category_scores_gemma":[0.0002001345,0.0001963454,0.0000614124,0.0004494071,0.00004360428,0.002070942,0.00001380572,0.0002312455,0.0002022205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005342954,"about_ca_system_score_gemma":0.00004419828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007098667,"about_ca_topic_score_gemma":0.00002232016,"domain_scores_codex":[0.9988331,0.00003369753,0.000543027,0.0001436188,0.0001711482,0.0002754611],"domain_scores_gemma":[0.9994672,0.0001302777,0.00005997203,0.0001767436,0.0001158428,0.00004998781],"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":[0.0000801642,0.00002720169,0.005790414,0.004112652,0.0001162177,0.00001110249,0.01166012,0.1544021,0.01857772,0.001215557,0.002583474,0.8014233],"study_design_scores_gemma":[0.0003711316,0.00002744523,0.007207061,0.0002121574,0.00001387398,0.0000225121,0.0001779802,0.9712839,0.001554671,0.0003319363,0.01858117,0.0002161613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3420226,0.001264796,0.6408268,0.000152649,0.001410805,0.001268629,0.0001129283,0.001879147,0.01106166],"genre_scores_gemma":[0.9939035,0.0001292506,0.00478137,0.00002557572,0.0001050678,0.00007080848,0.0007845622,0.00004292353,0.0001569223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8168818,"threshold_uncertainty_score":0.8006732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431069421610293,"score_gpt":0.2434505348293784,"score_spread":0.2191398406132755,"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."}}