{"id":"W2800562271","doi":"10.4095/292417","title":"Canadian Geospatial Data Infrastructure vision, mission and roadmap - The way forward","year":2012,"lang":"en","type":"report","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Spatial data infrastructure; Data science; Computer science; Geography; Cartography; Remote sensing; Spatial analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003487788,0.0002403394,0.0003364738,0.0002145586,0.002177842,0.0002696197,0.0008979748,0.0005014506,0.0009937454],"category_scores_gemma":[0.0005828926,0.0001404467,0.00006034689,0.0002831515,0.0002950636,0.0005581851,0.0004882715,0.0003599641,0.00005194957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003176397,"about_ca_system_score_gemma":0.002730984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9096749,"about_ca_topic_score_gemma":0.946208,"domain_scores_codex":[0.997134,0.000128921,0.0004853121,0.0002844376,0.001386083,0.0005812725],"domain_scores_gemma":[0.9976557,0.0001161302,0.0003599594,0.0008175432,0.0006237428,0.0004268511],"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":[0.000001172961,0.000002222895,0.022592,0.00005397491,0.00008484231,0.000001149567,0.01353369,6.65578e-7,6.526174e-8,0.001410937,0.9293137,0.03300561],"study_design_scores_gemma":[0.00005047397,0.00000630119,0.0398063,0.00005119192,0.00004760005,0.000008891459,0.009313753,0.0000106548,8.044841e-8,0.0001888361,0.9503303,0.0001856225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007542961,0.003833925,0.00006701522,0.008339037,0.005038114,0.001128617,0.0004514411,0.00008871365,0.9802988],"genre_scores_gemma":[0.887504,0.01052585,0.0003926468,0.0009909897,0.006003127,0.00003602356,0.001371339,0.0000568596,0.09311912],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8871797,"threshold_uncertainty_score":0.9999195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0506002248269399,"score_gpt":0.3383180311738024,"score_spread":0.2877178063468625,"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."}}