{"id":"W4255174702","doi":"10.4095/300648","title":"Tactile Maps of Canada, Vegetation","year":2006,"lang":"en","type":"report","venue":"","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Geography; Forestry; Cartography; Physical geography; Medicine","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":[0.0002374733,0.0007738792,0.0003200715,0.005398153,0.003866589,0.003497114,0.0008677759,0.0003464139,0.1333115],"category_scores_gemma":[0.002443403,0.0003201578,0.0002779406,0.01960908,0.0006197805,0.001081346,0.001250069,0.0006826099,0.01930616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0176178,"about_ca_system_score_gemma":0.03979211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839924,"about_ca_topic_score_gemma":0.9923788,"domain_scores_codex":[0.9994199,0.00001999137,0.00001913239,0.00006005375,0.0003681647,0.0001126697],"domain_scores_gemma":[0.9977277,0.00006874783,0.0000461072,0.00008198172,0.001832951,0.0002425372],"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":[0.00004612402,0.0000111435,0.002457122,0.0002214863,0.000006216383,0.00007299936,0.0005300525,0.0002794053,0.0001872225,0.002766526,0.9510369,0.04238478],"study_design_scores_gemma":[0.00001123791,0.000004969967,0.02456111,0.0001380946,0.000005111594,0.00007029819,0.001579653,0.0001613444,0.00009917446,0.0004327272,0.9729134,0.00002286117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005964019,0.0009799597,0.001094528,0.0009690797,0.00034578,0.0003251569,0.6138012,0.001271739,0.3752485],"genre_scores_gemma":[0.07184706,0.003783392,0.0115266,0.0005781274,0.00009814205,0.0006533646,0.4750948,0.0009350198,0.4354834],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1333115,"threshold_uncertainty_score":0.4459713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03229883958391998,"score_gpt":0.2192947850858186,"score_spread":0.1869959455018986,"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."}}