{"id":"W4389763747","doi":"10.5194/isprs-archives-xlviii-1-w2-2023-861-2023","title":"AN APPROACH OF HIGH DEFINITION MAP INFORMATION INTERACTION","year":2023,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Focus (optics); Interaction information; Realization (probability); Information system; Cloud computing; Interaction design; Human–computer interaction; Real-time computing; Engineering","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001843164,0.0003842328,0.0004031399,0.001588202,0.001091033,0.001246848,0.002751727,0.00008904147,0.000004842838],"category_scores_gemma":[0.0004469187,0.0002549936,0.0003032082,0.001672782,0.001823539,0.002502139,0.001418967,0.0003796348,0.000009106468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004263886,"about_ca_system_score_gemma":0.0001760404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6375093,"about_ca_topic_score_gemma":0.03377584,"domain_scores_codex":[0.9951838,0.0003110421,0.001574705,0.0003946862,0.002048796,0.0004870244],"domain_scores_gemma":[0.9960812,0.0006943816,0.002020869,0.0006985276,0.0003664963,0.0001385619],"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":[0.00008500168,0.00002628803,0.00009750887,0.00006603591,0.00007113558,1.895005e-7,0.003365332,0.005683861,0.0007297495,0.0001450174,0.00009493824,0.9896349],"study_design_scores_gemma":[0.0006656038,0.0001600103,0.003851148,0.0002284241,0.00003246322,0.00005818176,0.002440389,0.9714661,0.003912366,0.01386051,0.003044644,0.0002801589],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007133832,0.000009294034,0.9796408,0.003069763,0.002334554,0.0006139025,0.0001347513,0.0001021088,0.006960989],"genre_scores_gemma":[0.9845479,0.0001291837,0.01418145,0.0007672892,0.0001137564,6.852993e-7,0.0002068639,0.000008404158,0.00004448079],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9893548,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596378341145162,"score_gpt":0.2612936949151712,"score_spread":0.2353299115037196,"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."}}