{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00453799,0.001743937,0.001028246,0.006443613,0.007545046,0.006323847,0.002746013,0.001904592,0.02061387],"category_scores_gemma":[0.01339673,0.001415382,0.001179751,0.01746689,0.001273611,0.002823579,0.003055704,0.00359557,0.006778195],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1080935,"about_ca_system_score_gemma":0.4147802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997969,"about_ca_topic_score_gemma":0.9985885,"domain_scores_codex":[0.9894188,0.0003839749,0.0002516445,0.000329434,0.007930411,0.001685689],"domain_scores_gemma":[0.9659413,0.0005709626,0.0004800839,0.0008758576,0.02923405,0.002897786],"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":[0.00005892792,0.00005307314,0.007477668,0.0001218087,0.00002262285,0.00004100791,0.0001871306,0.0005918152,0.0001152074,0.009033812,0.9622082,0.02008886],"study_design_scores_gemma":[0.00004774726,0.00002571418,0.0982977,0.0002516909,0.0000671372,0.00007190635,0.001976506,0.002085237,0.001500984,0.001735767,0.8938453,0.00009436727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01518046,0.004439083,0.004150357,0.03942659,0.002519587,0.001382472,0.6495137,0.001704838,0.2816829],"genre_scores_gemma":[0.08626177,0.009307805,0.03283395,0.00496965,0.000232214,0.001154774,0.4003449,0.001064764,0.4638302],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8919065,"threshold_uncertainty_score":0.7842771,"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."}}