{"id":"W2980139086","doi":"","title":"Canadian Geospatial Data Infrastructure (CGDI) Access Services","year":2001,"lang":"en","type":"article","venue":"The 81st AMS Annual Meeting","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Business; Data access; Computer science; Spatial data infrastructure; Data science; Database; Remote sensing; Geography; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001132748,0.0007300729,0.0003520004,0.00438391,0.005785431,0.004154772,0.001754706,0.0006472903,0.09923494],"category_scores_gemma":[0.007339251,0.0003976223,0.0003569742,0.00925427,0.0006805673,0.001498108,0.001791691,0.001070778,0.0114947],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05024974,"about_ca_system_score_gemma":0.1379676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994177,"about_ca_topic_score_gemma":0.9961888,"domain_scores_codex":[0.998013,0.00008008697,0.00005115378,0.0001350794,0.001294799,0.0004258502],"domain_scores_gemma":[0.9928444,0.0002510941,0.0001379944,0.0002913187,0.005561491,0.0009137368],"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":[0.0000250778,0.00001611551,0.002947832,0.00006822687,0.000007081617,0.00003986943,0.0001789692,0.000272658,0.0003687342,0.01774237,0.9297634,0.04856962],"study_design_scores_gemma":[0.00001167334,0.000004231031,0.006349831,0.00003212449,0.000008780463,0.0000249586,0.0002698998,0.001107481,0.0004640057,0.001388743,0.9903151,0.00002315039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01070495,0.001768325,0.008974697,0.02237235,0.001615973,0.0006132566,0.1559894,0.006801919,0.791159],"genre_scores_gemma":[0.164422,0.005998239,0.03407423,0.00525641,0.0003055208,0.0004803566,0.1183569,0.001556887,0.6695493],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9958452,"threshold_uncertainty_score":0.3645891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631990063678509,"score_gpt":0.3145847875344069,"score_spread":0.2882648868976218,"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."}}