{"id":"W3173340992","doi":"10.5194/isprs-annals-v-4-2021-7-2021","title":"PREFACE: TECHNICAL COMMISSION IV","year":2021,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geospatial analysis; Context (archaeology); Spatial analysis; Commission; Human Dimension; Spatial planning; Data science; Geographic information system; Computer science; Geography; Political science; Environmental planning; Cartography; Remote sensing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004295926,0.000112547,0.0001508286,0.00009295061,0.0002809798,0.0001280047,0.0001934818,0.00007969482,0.000006464406],"category_scores_gemma":[0.0002257204,0.00008452134,0.00007300532,0.0006269746,0.000227182,0.0001594204,0.0001073238,0.0001491042,0.000004359043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009787093,"about_ca_system_score_gemma":0.0000484773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366857,"about_ca_topic_score_gemma":0.002818115,"domain_scores_codex":[0.9989353,0.00003401622,0.0003757041,0.0001090969,0.0003469013,0.0001989381],"domain_scores_gemma":[0.9992439,0.00007364832,0.0001069292,0.0002759727,0.0002268291,0.00007274731],"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":[0.000002662849,0.000005967036,0.0000343932,0.00003314745,0.000007280801,1.364498e-7,0.0002223147,0.02464375,0.005734677,0.00001663987,0.0009727311,0.9683263],"study_design_scores_gemma":[0.00007096951,0.00001882203,0.0007611558,0.00007548755,0.000006656878,0.00001673589,0.000128677,0.9247961,0.06494937,0.0009175939,0.008154995,0.0001034444],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04052695,0.0001424453,0.9510983,0.001752153,0.0003009284,0.0001760323,0.00001351292,0.0001299107,0.005859759],"genre_scores_gemma":[0.9917802,0.0001391801,0.007787083,0.0002325509,0.00002637423,2.575785e-7,0.000005441041,0.000005599495,0.00002334718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9682229,"threshold_uncertainty_score":0.9928995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03965717593775323,"score_gpt":0.2925985759459723,"score_spread":0.2529414000082191,"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."}}