{"id":"W7036508148","doi":"","title":"CaractÃ©risation spectrale de la dÃ©gradation des milieux naturels en rÃ©gions semi-arides, Ã  partir des donnÃ©es ASTER : cas du Moyen Atlas au Maroc","year":2007,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectral analysis; Multispectral pattern recognition; High resolution; Reflectivity","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":[0.0007709882,0.0006289671,0.0003322522,0.00283354,0.0005696432,0.002204254,0.0004101422,0.0005285182,0.00459123],"category_scores_gemma":[0.001114881,0.000332376,0.000723419,0.002424537,0.0005439874,0.001305983,0.0006708395,0.0005704405,0.001746283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006903777,"about_ca_system_score_gemma":0.0005768569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377884,"about_ca_topic_score_gemma":0.02998338,"domain_scores_codex":[0.9995209,0.00005398822,0.00002451076,0.0001650155,0.0001885312,0.00004707607],"domain_scores_gemma":[0.999366,0.0001830254,0.00008230082,0.00008349942,0.0002539402,0.00003115028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005418077,0.00009140163,0.2763723,0.001643291,0.0004648283,0.0007248537,0.006419138,0.02138174,0.2047874,0.005428178,0.005820235,0.4763248],"study_design_scores_gemma":[0.00002872208,0.0001135098,0.7896183,0.0002517659,0.0002540902,0.001709223,0.004951109,0.04236455,0.06174245,0.003316774,0.09550516,0.0001442928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7924891,0.004051077,0.150126,0.0006866552,0.0002132911,0.0001105853,0.007713704,0.002796587,0.04181304],"genre_scores_gemma":[0.9130553,0.002286895,0.06698516,0.0001381736,0.0000833186,0.00009804437,0.004588381,0.0004242225,0.0123406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377884,"threshold_uncertainty_score":0.02739727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003585971008972233,"score_gpt":0.1474792612526772,"score_spread":0.143893290243705,"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."}}