{"id":"W6997104441","doi":"","title":"Using ArcGIS to view the Orthoimagery for the City of Guelph.","year":2005,"lang":"en","type":"other","venue":"The Atrium (University of Guelph)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthophoto; Photogrammetry; Data set; Earth observation satellite","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004241837,0.0007465674,0.0003667506,0.004463002,0.0006937182,0.001473238,0.0007571804,0.0003149477,0.1709828],"category_scores_gemma":[0.003517903,0.0006721728,0.0004806075,0.00877105,0.0002916374,0.001234287,0.001397379,0.0006560014,0.05805891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014902,"about_ca_system_score_gemma":0.003479217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.190242,"about_ca_topic_score_gemma":0.3098494,"domain_scores_codex":[0.9996247,0.00006693399,0.00003533082,0.00006181315,0.0001745937,0.00003663474],"domain_scores_gemma":[0.9990559,0.0001464859,0.00006861689,0.0001571001,0.0004980604,0.00007378485],"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":[0.00001457698,0.00000633603,0.000906209,0.0002548468,0.00001337264,0.00007729053,0.0004730335,0.0004204733,0.0001913415,0.003533583,0.9146489,0.07946019],"study_design_scores_gemma":[0.00001648062,0.000003420941,0.00538851,0.00010659,0.000008876528,0.00009002442,0.0002542644,0.0005129126,0.0005196476,0.00176601,0.9913111,0.00002218849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004291031,0.0007116244,0.0967866,0.001375612,0.0006276459,0.000764907,0.4448973,0.05518122,0.3953642],"genre_scores_gemma":[0.04284598,0.00228551,0.3594773,0.0004910433,0.0001817797,0.002136064,0.3063617,0.03191444,0.2543062],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.809758,"threshold_uncertainty_score":0.5719945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05699961461386523,"score_gpt":0.2895200354930962,"score_spread":0.2325204208792309,"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."}}