{"id":"W3015549597","doi":"","title":"Utilisation d'images aeroportees a tres haute resolution spatiale pour l'estimation de la vigueur des peuplements forestiers du nord-ouest du Nouveau-Brunswick","year":2016,"lang":"fr","type":"article","venue":"PhDT","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006309066,0.000266098,0.0002510161,0.00004225867,0.001141333,0.00008785911,0.0002521635,0.0002527826,0.000936298],"category_scores_gemma":[0.0006591794,0.0001267962,0.0001347609,0.0002104164,0.001235965,0.0005515298,0.0001681931,0.0001142126,0.0003250012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002389792,"about_ca_system_score_gemma":0.00007191453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003717969,"about_ca_topic_score_gemma":0.01434561,"domain_scores_codex":[0.9981542,0.000371763,0.0003000592,0.0004038222,0.0002132809,0.0005568727],"domain_scores_gemma":[0.9988751,0.0005158172,0.0002301861,0.00007895482,0.0001642507,0.0001356552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008413295,0.0002739466,0.9236993,0.00003737541,0.00007234581,0.00002679402,0.0006516121,0.0000783728,0.001929336,0.0009558579,0.03132423,0.04086664],"study_design_scores_gemma":[0.0006126862,0.0004107271,0.9740673,0.0001266133,0.0001200219,0.00002485483,0.0006534476,0.001124561,0.001049555,0.003220337,0.01831589,0.0002739671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658383,0.0007761361,0.0006979,0.0307189,0.0006153566,0.0002803972,0.0001677533,0.00009434362,0.0008109706],"genre_scores_gemma":[0.9914923,0.002130858,0.001445106,0.000201426,0.0005198551,0.00001554965,0.00008347577,0.000003050819,0.004108365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05036799,"threshold_uncertainty_score":0.999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149623548310622,"score_gpt":0.2364217359539366,"score_spread":0.2149255004708304,"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."}}