{"id":"W2520393621","doi":"10.1080/03155986.2016.1197504","title":"Editorial note for the special issue on forestry applications","year":2016,"lang":"en","type":"editorial","venue":"INFOR Information Systems and Operational Research","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forestry; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006163165,0.003928063,0.003892077,0.004415094,0.003796167,0.009393114,0.002676886,0.01300484,0.03381813],"category_scores_gemma":[0.01925752,0.001133356,0.002654888,0.001765002,0.001720417,0.004251203,0.001908314,0.01594724,0.02505528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227491,"about_ca_system_score_gemma":0.003312183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246792,"about_ca_topic_score_gemma":0.007141196,"domain_scores_codex":[0.9953643,0.0005155496,0.0005401999,0.0006704425,0.002559353,0.0003501958],"domain_scores_gemma":[0.9792166,0.00491879,0.001463398,0.0005977767,0.01037495,0.003428439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002167389,0.00001060714,0.00001790635,0.00006650363,0.000007209135,0.00006378421,0.000005732652,0.00001421971,0.00006611743,0.0001066686,0.9963055,0.003314094],"study_design_scores_gemma":[0.00004439735,0.00002486195,0.0002628572,0.0002027657,0.00003030404,0.0001402095,0.00003396067,0.0001393029,0.0001280045,0.0007344742,0.9982418,0.00001716978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001767284,0.001334392,0.00007997605,0.01707133,0.9800592,0.00001236101,0.00003686651,0.00003077482,0.001357387],"genre_scores_gemma":[0.0002169045,0.001469896,0.00009785012,0.01195134,0.9688914,0.0000167017,0.0000420826,0.00005928297,0.01725451],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03381813,"threshold_uncertainty_score":0.1131329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908365109454975,"score_gpt":0.3423555930842414,"score_spread":0.3232719419896917,"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."}}