{"id":"W7124514774","doi":"","title":"Mise en place d’un processus de construction et d’analyse de modèle 3D d’arbre à partir de données LiDAR statique terrestre","year":2025,"lang":"fr","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Lidar; Segmentation; Tree (set theory); Sensitivity (control systems); Crown (dentistry)","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":[0.007316174,0.001511716,0.001085096,0.002853966,0.001378639,0.006543458,0.001648624,0.002012737,0.005504631],"category_scores_gemma":[0.01120956,0.00163106,0.00179177,0.001761513,0.001736644,0.002928426,0.00237646,0.002683371,0.004040251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566842,"about_ca_system_score_gemma":0.004841452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02101935,"about_ca_topic_score_gemma":0.01857456,"domain_scores_codex":[0.9974522,0.0005132017,0.0001320696,0.0006025507,0.001155054,0.0001448517],"domain_scores_gemma":[0.9948614,0.001772341,0.000184124,0.001195093,0.001822636,0.000164342],"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":[0.0005591422,0.0002625225,0.01395138,0.0006444838,0.0001848656,0.0005434955,0.003151821,0.1658105,0.1240203,0.02713272,0.009644047,0.6540948],"study_design_scores_gemma":[0.00009798741,0.0002782893,0.01405633,0.0003482782,0.00009037092,0.0006043969,0.001389691,0.7320381,0.1340023,0.0181226,0.09869026,0.0002814193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02169523,0.0002765947,0.9716827,0.0005638461,0.00009599629,0.0001485337,0.0006609653,0.002867068,0.002009112],"genre_scores_gemma":[0.09037475,0.0002837142,0.9053845,0.00005786154,0.00002405206,0.0001723314,0.00100992,0.0008264963,0.001866475],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02101935,"threshold_uncertainty_score":0.041794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009549082571203191,"score_gpt":0.2300745262310727,"score_spread":0.2205254436598695,"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."}}