{"id":"W7008550997","doi":"","title":"Canada VMap1, Library 36: Tunnel Lines","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); Product (mathematics); Vector map; Base (topology); Geographic information system; Digital mapping; Topographic map (neuroanatomy)","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":[0.0005221606,0.001005331,0.0005244914,0.005668228,0.004714877,0.0050661,0.001915053,0.0006011408,0.3795609],"category_scores_gemma":[0.00323236,0.0006361842,0.0004474792,0.01769097,0.0006299789,0.001897184,0.001349813,0.0007377481,0.1527016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01654719,"about_ca_system_score_gemma":0.05536551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9391518,"about_ca_topic_score_gemma":0.9560397,"domain_scores_codex":[0.9988757,0.00003850861,0.00003534716,0.0001183317,0.0007538797,0.0001782708],"domain_scores_gemma":[0.9971424,0.00008671694,0.00007634818,0.0002169447,0.002158157,0.000319488],"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":[0.00003214616,0.00001177841,0.0006428472,0.000111508,0.000002450936,0.00004208044,0.0001893303,0.0002774087,0.0001658013,0.003683473,0.9524903,0.04235088],"study_design_scores_gemma":[0.000005596027,0.000002785222,0.002220237,0.00004189962,0.000002168933,0.00003408852,0.0001436436,0.0001593285,0.0001871821,0.0003455812,0.9968452,0.00001211366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002808622,0.0006005651,0.003573205,0.000512512,0.0002042417,0.0002687862,0.3138011,0.006718151,0.6715128],"genre_scores_gemma":[0.01727532,0.001437534,0.009307575,0.0001966905,0.00006152128,0.0001844205,0.2098536,0.00389119,0.7577922],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3795609,"threshold_uncertainty_score":0.884981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913207845852144,"score_gpt":0.2106763802110758,"score_spread":0.1915443017525543,"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."}}