{"id":"W2800485573","doi":"10.4095/288848","title":"The Canadian Geospatial Data Infrastructure: Better knowledge for better decisions","year":2005,"lang":"en","type":"report","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Data science; Computer science; Spatial data infrastructure; Knowledge management; Business; Database; 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":[0.02828719,0.002111549,0.002124696,0.0117787,0.01356945,0.03191547,0.007740807,0.006256304,0.03665855],"category_scores_gemma":[0.06363299,0.001468189,0.002155449,0.02312275,0.01366948,0.0310823,0.01776069,0.01173981,0.01295749],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.110706,"about_ca_system_score_gemma":0.3363811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9489019,"about_ca_topic_score_gemma":0.939031,"domain_scores_codex":[0.9623744,0.007269428,0.001821606,0.002378292,0.02153383,0.004622408],"domain_scores_gemma":[0.9302027,0.008572541,0.001816252,0.008800324,0.04018147,0.01042678],"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":[0.00001228126,0.00002010437,0.000779853,0.0003365591,0.00003609065,0.0000686157,0.0009996245,0.0005883852,0.0001352088,0.1317864,0.801877,0.06335995],"study_design_scores_gemma":[0.000004943663,0.000002077197,0.000574073,0.0003984957,0.000009633371,0.00001922786,0.0009899385,0.0002879439,0.00007073799,0.02152717,0.9760746,0.00004112761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002069578,0.03157281,0.02931588,0.6855441,0.01156172,0.0003173063,0.01918016,0.002293624,0.2181448],"genre_scores_gemma":[0.1172261,0.1608292,0.3031211,0.1748013,0.006692239,0.0008435574,0.06330419,0.004530575,0.1686517],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.889294,"threshold_uncertainty_score":0.8032323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075253383283407,"score_gpt":0.3860758998346363,"score_spread":0.2785505615062956,"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."}}