{"id":"W2990715360","doi":"10.3390/ijgi8120523","title":"Multidimensional and Multiscale GIS","year":2019,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Geospatial analysis; Computer science; Process (computing); Data science; Data mining; Automation; Multidimensional data; Data quality; Multidimensional analysis; Geography; Engineering; Remote sensing; Metric (unit); Mathematics","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":[0.0001617765,0.00009118197,0.0001111755,0.0002175698,0.00002695711,0.00006170355,0.0001784753,0.00005870111,0.0001171943],"category_scores_gemma":[0.00005353761,0.00008648941,0.00005294287,0.00005350039,0.0000176137,0.001646906,0.00003759239,0.0001637074,0.0002815385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008288171,"about_ca_system_score_gemma":0.00002357533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001902632,"about_ca_topic_score_gemma":0.000002025098,"domain_scores_codex":[0.9989867,0.000006763811,0.0004706607,0.00003976925,0.0003994482,0.00009661367],"domain_scores_gemma":[0.9990051,0.00005139529,0.0001685357,0.00008449023,0.0006288633,0.00006166146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001399237,0.00007668721,0.007834874,0.00009397759,0.0004486713,0.000005622799,0.003008686,0.7757879,0.009988659,0.007901107,0.01200092,0.182713],"study_design_scores_gemma":[0.002001976,0.00007891792,0.02007391,0.0001296029,0.00002667487,0.0002234279,0.000281839,0.870654,0.003264694,0.000850355,0.1021303,0.0002842807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7846227,0.0001048484,0.2090422,0.0008471751,0.002485208,0.0001901317,0.00005103294,0.00007168586,0.002585063],"genre_scores_gemma":[0.9785272,0.00009538471,0.02092719,0.0002475863,0.0001210252,0.000003953564,0.00003635843,0.000007487907,0.0000337437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1939046,"threshold_uncertainty_score":0.3618701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002633569871327238,"score_gpt":0.2009884703038757,"score_spread":0.1983549004325484,"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."}}