{"id":"W6999726043","doi":"","title":"Développement d’une approche d’estimation de la densité du couvert nival à l’aide des données de télédétection hyperspectrale proximale dans l’infrarouge proche.","year":2021,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weed science; Historical heritage; Fire ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001512654,0.001228595,0.0007905681,0.001612267,0.0005013766,0.002540588,0.001487001,0.001836122,0.005021293],"category_scores_gemma":[0.003079536,0.001119994,0.001463095,0.001121521,0.0005495957,0.001856842,0.0009180698,0.001381243,0.004025867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007400643,"about_ca_system_score_gemma":0.001299166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139445,"about_ca_topic_score_gemma":0.02059078,"domain_scores_codex":[0.9986035,0.0001873019,0.00004211619,0.0004489491,0.0006272974,0.00009079736],"domain_scores_gemma":[0.9981928,0.0004410279,0.00009637739,0.0002971788,0.0009338158,0.00003874144],"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":[0.0002765245,0.0001637374,0.007905792,0.0006111145,0.0003691178,0.0003638477,0.0005656247,0.08063518,0.2731735,0.004096336,0.00705857,0.6247807],"study_design_scores_gemma":[0.00004015214,0.0001720714,0.01311578,0.0001466174,0.0001634194,0.0006865272,0.0002952824,0.7047822,0.2162777,0.00369774,0.06044656,0.0001760935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.011962,0.0003976875,0.9817825,0.000134588,0.0001020108,0.0000663355,0.0002772895,0.002696138,0.002581504],"genre_scores_gemma":[0.09565885,0.0004809501,0.8930362,0.0001858349,0.00004571533,0.0001689629,0.001034045,0.0004281642,0.008961339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01139445,"threshold_uncertainty_score":0.02265626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0820701373896688,"score_gpt":0.2855394217814808,"score_spread":0.203469284391812,"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."}}