{"id":"W2485262335","doi":"10.22215/etd/2009-06397","title":"A ubiquitous GIS: framework, services and algorithms, development","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002050954,0.0003383682,0.0002947099,0.0002300071,0.000155393,0.0008699893,0.001341005,0.0002282216,0.00002942694],"category_scores_gemma":[0.000006197429,0.0003025432,0.00004068155,0.0002892922,0.000009103808,0.000742993,0.0002531907,0.0002511815,0.000122055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002656151,"about_ca_system_score_gemma":0.00007121462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000553253,"about_ca_topic_score_gemma":0.0002650297,"domain_scores_codex":[0.9981343,0.0000219592,0.0003243676,0.0007396438,0.0004418551,0.0003379359],"domain_scores_gemma":[0.9990497,0.00003426307,0.0001621566,0.0005734652,0.0000696856,0.0001107202],"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":[0.000002780345,0.00004559126,0.00001010701,0.0001962193,0.00004801277,0.00002920935,0.001154595,4.610805e-7,0.000003274079,0.01369363,0.001698808,0.9831173],"study_design_scores_gemma":[0.001019876,0.0003374637,0.0356949,0.002289267,0.0001495737,0.00002587112,0.002738579,0.03412936,0.002662151,0.05156782,0.8653784,0.004006679],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009887894,0.007261743,0.8003437,0.001583567,0.00658283,0.001861952,0.00002091719,0.002578216,0.1698792],"genre_scores_gemma":[0.001853766,0.0007199905,0.9393991,0.001619985,0.0003175996,0.00005737087,0.00113907,0.00003492391,0.05485816],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9791107,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098359316320951,"score_gpt":0.2541352670870325,"score_spread":0.243151673923823,"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."}}