{"id":"W2116726146","doi":"10.1016/j.isprsjprs.2015.09.008","title":"Information from imagery: ISPRS scientific vision and research agenda","year":2015,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geospatial analysis; Photogrammetry; Remote sensing; Computer science; Field (mathematics); Terrain; Data science; Geography; Cartography","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":[0.008993236,0.001733912,0.001486354,0.006014384,0.001137019,0.00918059,0.002700109,0.006161357,0.01660042],"category_scores_gemma":[0.01685034,0.0005596442,0.0008860974,0.01125972,0.003442978,0.01721665,0.002265315,0.003431322,0.007955783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005218363,"about_ca_system_score_gemma":0.01831863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02584958,"about_ca_topic_score_gemma":0.01268057,"domain_scores_codex":[0.9973508,0.0006167751,0.0001661681,0.000234686,0.001385937,0.0002455857],"domain_scores_gemma":[0.9764654,0.004156177,0.001193432,0.001734364,0.01521009,0.00124052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001150675,0.0001789309,0.001703312,0.001801876,0.00003755943,0.0001624782,0.0001047761,0.002856439,0.001526967,0.09401435,0.2700095,0.6274888],"study_design_scores_gemma":[0.00001741336,0.00009825717,0.002542543,0.003249264,0.00004872165,0.0002561629,0.0007532119,0.008371923,0.002923681,0.09355707,0.8881294,0.00005241617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.007485857,0.3657441,0.04777446,0.2985123,0.01264019,0.000726484,0.009979475,0.001889093,0.255248],"genre_scores_gemma":[0.1037629,0.6935491,0.1053886,0.01622011,0.0145268,0.0004164788,0.02080723,0.0005519131,0.04477683],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02584958,"threshold_uncertainty_score":0.05553395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05376291974545938,"score_gpt":0.3628634562712846,"score_spread":0.3091005365258253,"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."}}