{"id":"W2395918588","doi":"10.1016/j.isprsjprs.2016.05.001","title":"Theme section: Multi-dimensional modelling, analysis and visualization","year":2016,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Section (typography); Visualization; Theme (computing); Computer science; Computer graphics (images); Data science; Data mining; World Wide Web","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":[0.002999548,0.001862888,0.001828396,0.005305864,0.001502409,0.005621841,0.001915661,0.002821469,0.1161717],"category_scores_gemma":[0.004475864,0.0005472722,0.001388179,0.008054091,0.001160163,0.004584913,0.00494627,0.002387697,0.04106317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007858752,"about_ca_system_score_gemma":0.00280641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007968556,"about_ca_topic_score_gemma":0.0008845596,"domain_scores_codex":[0.9978926,0.0003215981,0.0001541747,0.0004144571,0.00104582,0.0001714261],"domain_scores_gemma":[0.995851,0.0005512552,0.0002052053,0.000460069,0.002175158,0.000757114],"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":[0.0001041765,0.0002336277,0.0004784267,0.002156566,0.00004205185,0.0001313968,0.0001909738,0.00228201,0.01734009,0.01292663,0.4682553,0.4958588],"study_design_scores_gemma":[0.00002549904,0.000382352,0.00211568,0.000624505,0.00004036329,0.0008707491,0.0002042032,0.0109451,0.007359109,0.008960089,0.9684204,0.00005199547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01331014,0.07555716,0.4864291,0.02263116,0.1957492,0.003336724,0.004276759,0.006565189,0.1921445],"genre_scores_gemma":[0.04055046,0.0928333,0.0966278,0.003805729,0.1420514,0.002413594,0.009421511,0.005449693,0.6068465],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1161717,"threshold_uncertainty_score":0.388633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156323813666593,"score_gpt":0.2470590399553408,"score_spread":0.2314266585886814,"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."}}