{"id":"W4402260454","doi":"10.1109/igarss53475.2024.10642925","title":"A Method for Updating Individual Tree Species Samples Based on Different Images","year":2024,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Tree (set theory); Artificial intelligence; Pattern recognition (psychology); Computer vision; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005794543,0.0008409058,0.0006714448,0.00212451,0.0005504379,0.0007457109,0.00109446,0.0005306086,0.0008400113],"category_scores_gemma":[0.001682857,0.0005009555,0.000589511,0.001781138,0.0004183488,0.002087915,0.0008063994,0.0007117657,0.0005438029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003922014,"about_ca_system_score_gemma":0.0005952876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004808655,"about_ca_topic_score_gemma":0.008373521,"domain_scores_codex":[0.9992949,0.00004107469,0.00004488865,0.000260182,0.0003138577,0.00004502404],"domain_scores_gemma":[0.9992313,0.0000774029,0.0001024063,0.0001527249,0.0003993183,0.00003686301],"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":[0.0001938057,0.0001167006,0.008140524,0.0001649105,0.00008759332,0.00007921015,0.0002480203,0.009488472,0.08840744,0.001079596,0.001996674,0.8899971],"study_design_scores_gemma":[0.00005769226,0.0003374452,0.03421857,0.00004846829,0.0003444075,0.001068347,0.00037693,0.7816632,0.1608689,0.002869579,0.01796695,0.0001795056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04887622,0.0004075692,0.947274,0.0000770985,0.0001455621,0.0001454902,0.0002153526,0.001862983,0.000995716],"genre_scores_gemma":[0.2903139,0.0004155036,0.706713,0.00008399781,0.00007205546,0.00013075,0.0005327037,0.0001428359,0.001595359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004808655,"threshold_uncertainty_score":0.00956136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478819396172274,"score_gpt":0.2948492145663345,"score_spread":0.2600610206046118,"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."}}