{"id":"W3006141689","doi":"","title":"LibGuides: Geospatial Data: Canadian Provincial Geospatial Resources","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Geography; Geospatial PDF; Environmental resource management; Environmental planning; Remote sensing; 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":[0.001108232,0.001074762,0.0005387507,0.009881632,0.003487077,0.005149463,0.001241041,0.0007974675,0.1007178],"category_scores_gemma":[0.008492893,0.0005680177,0.0004643945,0.02860481,0.0008892988,0.00199964,0.002062919,0.001434386,0.01978935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0419494,"about_ca_system_score_gemma":0.1494313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922996,"about_ca_topic_score_gemma":0.9912562,"domain_scores_codex":[0.9989746,0.00005610433,0.00007711889,0.0000800525,0.0006006338,0.0002114448],"domain_scores_gemma":[0.9923458,0.0002642306,0.0002087698,0.0001923848,0.006325697,0.0006630673],"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":[0.00002643473,0.000009844684,0.003967624,0.0003024986,0.000009841107,0.00002729999,0.0002170882,0.0002390616,0.00006040385,0.00839058,0.9452354,0.04151382],"study_design_scores_gemma":[0.000008615941,0.000002342972,0.01350139,0.0003515223,0.00001108822,0.00002327542,0.0005895318,0.0003428038,0.0001331128,0.001257057,0.9837562,0.00002304154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003837137,0.004515595,0.00099709,0.006238538,0.0008581856,0.0001924693,0.8062389,0.001882674,0.1752394],"genre_scores_gemma":[0.04665232,0.01370151,0.008605406,0.001668946,0.0002693139,0.0005695064,0.5555764,0.001719938,0.3712367],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1007178,"threshold_uncertainty_score":0.3369346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855726992013894,"score_gpt":0.294020544915689,"score_spread":0.25546327499555,"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."}}