{"id":"W2253567983","doi":"10.5623/cig2014-407","title":"Revue Des Méthodes De Prétraitement Des Données D’imagerie Hyperspectrale Acquises Depuis Un Drone","year":2014,"lang":"fr","type":"article","venue":"GEOMATICA","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval","funders":"","keywords":"Humanities; Political science; Physics; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008068793,0.002075003,0.00254418,0.003561174,0.0007277237,0.005676224,0.003076329,0.002978867,0.005525223],"category_scores_gemma":[0.01906475,0.001493041,0.003099262,0.002029662,0.001555115,0.003198209,0.001926105,0.004847986,0.005885422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009030655,"about_ca_system_score_gemma":0.002680706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275525,"about_ca_topic_score_gemma":0.01094223,"domain_scores_codex":[0.9937224,0.001521215,0.0005288525,0.001419247,0.002557266,0.0002510766],"domain_scores_gemma":[0.9865324,0.007467919,0.0003710417,0.001698584,0.003704235,0.0002257702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002184264,0.00009481925,0.001738564,0.000749118,0.0004720294,0.00009965547,0.000245843,0.01749582,0.02066908,0.006003773,0.005460542,0.9467524],"study_design_scores_gemma":[0.0001018499,0.0001801419,0.0122182,0.0006535589,0.0003705049,0.001135371,0.0004520247,0.8290691,0.04346183,0.02147241,0.09066558,0.0002193759],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00306205,0.002965539,0.9913515,0.0003948868,0.0002822237,0.00004959288,0.0001885705,0.001159094,0.0005464864],"genre_scores_gemma":[0.04364619,0.004033474,0.9419116,0.0003638778,0.0006132874,0.000177871,0.001414599,0.0007368342,0.007102286],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01275525,"threshold_uncertainty_score":0.0426724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05527522195486674,"score_gpt":0.2541471207390336,"score_spread":0.1988718987841668,"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."}}