{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135573,0.0006271364,0.0004487346,0.002031005,0.0005371151,0.001068059,0.000550113,0.0004356412,0.0006181762],"category_scores_gemma":[0.00354827,0.0001069168,0.0003326154,0.001617134,0.0002867239,0.0004196831,0.000433196,0.0003053361,0.0002450391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002407451,"about_ca_system_score_gemma":0.00158843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08587187,"about_ca_topic_score_gemma":0.08811074,"domain_scores_codex":[0.9991372,0.0003811829,0.00006071219,0.0001143588,0.0002047423,0.0001017654],"domain_scores_gemma":[0.9987275,0.0006201505,0.0001792814,0.00009449738,0.0003409052,0.00003773518],"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":[0.0004084583,0.0002632338,0.1089723,0.000602304,0.0003150181,0.000801435,0.0005543567,0.3093979,0.009117233,0.008320817,0.009097065,0.5521498],"study_design_scores_gemma":[0.00003378875,0.0001447193,0.1227447,0.0001282314,0.00008194861,0.0002441401,0.000863819,0.8510686,0.006168581,0.005225472,0.0132412,0.00005481292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8540429,0.01044118,0.1162245,0.001934756,0.0001781955,0.0002933448,0.003172132,0.001419794,0.01229325],"genre_scores_gemma":[0.9519523,0.0007765074,0.04425262,0.00006542129,0.00004593324,0.00009088539,0.001443246,0.00002667498,0.001346383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08587187,"threshold_uncertainty_score":0.1707441,"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."}}