{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004426799,0.0008808509,0.000558163,0.006066526,0.005003884,0.005184079,0.001883152,0.0004712729,0.3083357],"category_scores_gemma":[0.003151769,0.0005711461,0.0004133535,0.0220948,0.0006730254,0.001504611,0.001679659,0.0006414546,0.1120901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02332466,"about_ca_system_score_gemma":0.08372264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9738052,"about_ca_topic_score_gemma":0.9806479,"domain_scores_codex":[0.9990958,0.00002885133,0.0000273425,0.0001103661,0.0005517096,0.0001859278],"domain_scores_gemma":[0.9976912,0.00006981351,0.00006395332,0.0001424109,0.001728927,0.0003036601],"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":[0.00002892664,0.000007743617,0.0006680202,0.0001130201,0.000002980236,0.00003877074,0.0002417295,0.000169766,0.0001068346,0.003739393,0.9616457,0.03323721],"study_design_scores_gemma":[0.000004600866,0.000001919579,0.002738975,0.00003354086,0.000002479589,0.00002306421,0.0001981836,0.0000972198,0.0001434463,0.0002615392,0.996485,0.0000101401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003084166,0.000731789,0.001785411,0.0006933258,0.0002117079,0.0002938643,0.416377,0.003822588,0.5730002],"genre_scores_gemma":[0.02294585,0.001810373,0.008447119,0.0002556252,0.00007345601,0.0002804575,0.2840019,0.003039391,0.679146],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3083357,"threshold_uncertainty_score":0.9865752,"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."}}