{"id":"W6906472414","doi":"10.17632/sn9vy5c8sm.1","title":"Spatial and Temporally aligned Visible and Infrared UAV images (labelled) and videos (not labelled)","year":2024,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Context (archaeology); Zoom; Pixel; Sensor fusion; Image resolution; Infrared; Gimbal; Object detection","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":[0.0003313532,0.001290132,0.0009903852,0.002297491,0.0005698223,0.0008611956,0.0008333443,0.001480179,0.01198754],"category_scores_gemma":[0.001202495,0.0002926169,0.0008802762,0.002611622,0.0004206833,0.0008186608,0.000791808,0.0009667465,0.01101582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006081609,"about_ca_system_score_gemma":0.0007539755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040725,"about_ca_topic_score_gemma":0.02346213,"domain_scores_codex":[0.9992883,0.00004997658,0.00005878053,0.0002585443,0.0001837369,0.0001608265],"domain_scores_gemma":[0.999215,0.0001086486,0.00007331049,0.0001908519,0.0003448966,0.00006739113],"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":[0.002304849,0.0008408836,0.01026539,0.005516959,0.0001964595,0.001352333,0.0003724995,0.008980548,0.0612842,0.001540129,0.6824023,0.2249435],"study_design_scores_gemma":[0.000267436,0.0006679527,0.1136549,0.001641585,0.0001922307,0.001938485,0.001432255,0.02265462,0.04544774,0.0020078,0.8097869,0.0003081018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04140596,0.001305842,0.009302857,0.0003691324,0.001094716,0.000806935,0.9300175,0.004704768,0.01099225],"genre_scores_gemma":[0.04057906,0.0005660864,0.01655054,0.0001650986,0.0001195741,0.0005288824,0.9377326,0.0003198944,0.003438262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01198754,"threshold_uncertainty_score":0.0401023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500941331568348,"score_gpt":0.2295027226041941,"score_spread":0.2144933092885106,"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."}}