{"id":"W6999098666","doi":"","title":"Canada VMap1, Library 37: Landmark Areas","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Landmark; Product (mathematics); Vector map; Topographic map (neuroanatomy); Digital mapping; Geographic information system; National library","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005430713,0.0002533097,0.0002741816,0.0002291478,0.0005657631,0.0001689099,0.0009755603,0.0001044337,0.0009479424],"category_scores_gemma":[0.00003456747,0.0001745578,0.0001492035,0.0004111885,0.0005049977,0.0003936851,0.0003093664,0.0001557688,0.0004904379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134578,"about_ca_system_score_gemma":0.0015324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.601099,"about_ca_topic_score_gemma":0.783192,"domain_scores_codex":[0.9986027,0.00008390723,0.000145007,0.0002262224,0.0005141209,0.0004280146],"domain_scores_gemma":[0.9990345,0.0001738914,0.0002602214,0.0002678005,0.00002655114,0.0002370864],"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":[0.00001334754,0.000005068748,0.001418855,0.00001092518,0.0001616988,0.00001588224,0.002181318,3.31948e-7,3.708414e-8,0.03109282,0.9636241,0.001475595],"study_design_scores_gemma":[0.0002445151,0.000008332931,0.0004454205,0.0001409149,0.00002321867,0.000001152364,0.008327624,1.28765e-7,2.011009e-7,0.0007850318,0.9897654,0.0002580464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003162327,0.00006657105,0.00007484508,0.002397505,0.0003232416,0.0003702015,0.004009994,0.0002585751,0.9924675],"genre_scores_gemma":[0.002434958,0.000118984,0.00003012758,0.0001680967,0.0004499619,8.054243e-7,0.0003044887,0.00006382522,0.9964287],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.182093,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496635919683991,"score_gpt":0.2023303906681377,"score_spread":0.1873640314712978,"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."}}