{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000999897,0.0004504855,0.0004720383,0.00015305,0.0003529056,0.0003085689,0.0003346766,0.0002281785,0.0004636774],"category_scores_gemma":[0.001358579,0.0005195652,0.0001641844,0.0003658715,0.0007559104,0.0004501301,0.00007794494,0.0002600369,0.0006203036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006226006,"about_ca_system_score_gemma":0.00005557191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00011865,"about_ca_topic_score_gemma":0.00008170741,"domain_scores_codex":[0.9972558,0.0003993952,0.0006263929,0.0004585059,0.0002548756,0.00100503],"domain_scores_gemma":[0.9979987,0.0006112787,0.00014165,0.0007861944,0.0001637724,0.0002984726],"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":[0.00003067158,0.0004650918,0.001306325,0.007493479,0.0003956719,0.00009712746,0.01260205,0.01438173,0.3298573,0.0194858,0.002844102,0.6110407],"study_design_scores_gemma":[0.001303928,0.0003846343,0.07207102,0.00461151,0.0007961253,0.0007737625,0.001664649,0.5694388,0.2156448,0.1155436,0.01593426,0.001832877],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.397565,0.006516202,0.5751439,0.002422135,0.0005835181,0.0004289937,0.00001951224,0.0005771179,0.01674361],"genre_scores_gemma":[0.4377586,0.0009754179,0.5588234,0.00005636343,0.0004500482,0.00001913049,0.00001545176,0.0001077508,0.001793799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6092077,"threshold_uncertainty_score":0.9997256,"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."}}