{"id":"W2375651069","doi":"","title":"Application and Development of GIS in Canada","year":2007,"lang":"en","type":"article","venue":"Geospatial Information","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Government (linguistics); Geography; Geographic information system; Development (topology); Regional science; Data science; Environmental resource management; Environmental planning; Operations research; Computer science; Cartography; Engineering; Artificial intelligence; Mathematics; Environmental science","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":[0.001941938,0.00043695,0.0003255739,0.003904399,0.007401739,0.004955288,0.001337516,0.0005977523,0.008920684],"category_scores_gemma":[0.00430201,0.0003345065,0.0004188041,0.009673491,0.003528475,0.001642566,0.002555058,0.001160813,0.0005244571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08823327,"about_ca_system_score_gemma":0.1605716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889038,"about_ca_topic_score_gemma":0.989574,"domain_scores_codex":[0.9972409,0.0004830523,0.00009566327,0.0002239834,0.001317782,0.0006386088],"domain_scores_gemma":[0.9967967,0.0004931567,0.00007966945,0.0001057361,0.002117831,0.0004070031],"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":[0.000103784,0.00009581924,0.03104218,0.0007466023,0.00003893222,0.00132575,0.0156469,0.009919797,0.001932291,0.4338235,0.0698017,0.4355228],"study_design_scores_gemma":[0.00001695858,0.00004472409,0.04175157,0.0005581079,0.00003265575,0.0003062769,0.01934893,0.00779604,0.001937692,0.01771615,0.9104019,0.00008906669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1403457,0.02102412,0.02962922,0.06071508,0.0008517568,0.0004059313,0.003450426,0.001378546,0.7421993],"genre_scores_gemma":[0.8560307,0.02630037,0.04520818,0.002176399,0.0000939833,0.000114703,0.001288525,0.0002107843,0.06857626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08823327,"threshold_uncertainty_score":0.6401802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006071356659982141,"score_gpt":0.2258520318412144,"score_spread":0.2197806751812322,"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."}}