{"id":"W4235387205","doi":"10.3138/cart.53.2.146","title":"Back Matter","year":2018,"lang":"en","type":"paratext","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004691574,0.001016311,0.0008323356,0.00206173,0.002115053,0.009478919,0.0008833867,0.002076792,0.9399027],"category_scores_gemma":[0.003391917,0.0003795405,0.0006804931,0.001762269,0.001435803,0.002536064,0.002792351,0.001779503,0.9271733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298376,"about_ca_system_score_gemma":0.001695934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003680405,"about_ca_topic_score_gemma":0.005182792,"domain_scores_codex":[0.9995578,0.00003326685,0.00001982779,0.0001502921,0.0001584456,0.00008038062],"domain_scores_gemma":[0.9989485,0.0001332296,0.00004610607,0.0002338431,0.0003559463,0.0002824002],"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":[0.00003583084,0.00005153596,0.0002592581,0.0001373442,0.000005995602,0.00007584093,0.00005951829,0.00006326223,0.0003450922,0.01290665,0.8533689,0.1326907],"study_design_scores_gemma":[0.000003768931,0.000004669489,0.0001778386,0.00006101326,0.000001834418,0.00003406201,0.00004248746,0.00003307561,0.00008750605,0.001654887,0.9978964,0.000002411092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004563111,0.0005479562,0.0003960949,0.002611205,0.003384743,0.00004070863,0.003410192,0.001064642,0.9880881],"genre_scores_gemma":[0.0008713417,0.0002198552,0.0001229742,0.000209097,0.0001305193,0.00001030618,0.0007113492,0.000209249,0.9975152],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06009734,"threshold_uncertainty_score":0.08572149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130993598540124,"score_gpt":0.3028436011204156,"score_spread":0.2897442412664032,"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."}}