{"id":"W4402262518","doi":"10.62973/09-037r1","title":"OWS-6 UTDS-CityGML Implementation Profile","year":2009,"lang":"en","type":"report","venue":"","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense; Natural Resources Canada; U.S. Geological Survey","keywords":"CityGML; Computer science; Data mining; Visualization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001816611,0.001810504,0.001318309,0.002173378,0.001096757,0.002908021,0.005252405,0.00179021,0.1482747],"category_scores_gemma":[0.005787768,0.002001466,0.001755352,0.002319642,0.0006160332,0.003519996,0.002875391,0.002479781,0.1086876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158065,"about_ca_system_score_gemma":0.002527453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02245353,"about_ca_topic_score_gemma":0.02438194,"domain_scores_codex":[0.998742,0.0001629693,0.0001043465,0.0001246361,0.0006752894,0.0001907646],"domain_scores_gemma":[0.997521,0.0003956607,0.00008380587,0.0008943821,0.0009076845,0.0001974694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000930822,0.000291279,0.002011203,0.0004669641,0.00008236364,0.0001830879,0.0003578592,0.01236382,0.009129772,0.01710478,0.8497347,0.1073432],"study_design_scores_gemma":[0.0005454075,0.00006065591,0.002029886,0.0001554517,0.00004998963,0.0001618645,0.0001233697,0.08787349,0.03354256,0.01046455,0.8648234,0.0001694041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.005050272,0.00010098,0.279654,0.0004697072,0.0003342525,0.0007031325,0.1279249,0.5299636,0.05579916],"genre_scores_gemma":[0.02858886,0.0003072773,0.302899,0.0004688635,0.0001075384,0.001865188,0.4241388,0.1576138,0.0840107],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1482747,"threshold_uncertainty_score":0.4960282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921071072396622,"score_gpt":0.3197597496487503,"score_spread":0.2905490389247841,"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."}}