{"id":"W2122803926","doi":"10.1145/2669485.2669505","title":"Multi Surface Interactions with Geospatial Data","year":2014,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geospatial analysis; Computer science; Data science; Geographic information system; Data mining; Geography; Remote sensing","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":[0.002151499,0.0007927298,0.0005815002,0.00123498,0.0006425413,0.002989492,0.0008021447,0.0008913025,0.01320538],"category_scores_gemma":[0.01327783,0.0002812859,0.0007171192,0.001317884,0.0007224883,0.003002124,0.003910257,0.0006141535,0.00158896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002766628,"about_ca_system_score_gemma":0.0004304754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009602857,"about_ca_topic_score_gemma":0.001710523,"domain_scores_codex":[0.9966883,0.001898879,0.00017819,0.0002378028,0.0008388958,0.000157811],"domain_scores_gemma":[0.9862379,0.01146394,0.0005737456,0.0008218071,0.0006752599,0.0002273814],"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":[0.0007775368,0.0002989099,0.01936257,0.009260204,0.0003457697,0.00168333,0.03847992,0.00763694,0.0473148,0.02036035,0.01412765,0.840352],"study_design_scores_gemma":[0.0002478542,0.002228198,0.1026762,0.006539639,0.000793756,0.005396247,0.05239001,0.040243,0.04720376,0.04030531,0.7014584,0.0005175878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4330403,0.01525285,0.4209861,0.002619832,0.0003915004,0.0008416507,0.00173683,0.003437558,0.1216934],"genre_scores_gemma":[0.8267431,0.006357769,0.1511717,0.0006017342,0.0001096898,0.0005575517,0.001063758,0.000438805,0.01295585],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01320538,"threshold_uncertainty_score":0.0441764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771380046848347,"score_gpt":0.2944838644187895,"score_spread":0.256770063950306,"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."}}