{"id":"W6989715122","doi":"","title":"Canada VMap1, Library 16: Telephone 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); Base (topology); Vector map; National library; Geographic information system; Digital mapping","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":[0.00005257393,0.0002765694,0.000302704,0.0003308696,0.0006017859,0.0001701044,0.00103572,0.0001147994,0.0009900259],"category_scores_gemma":[0.00004084075,0.0001917032,0.0001600687,0.0005321621,0.0006112636,0.0004424506,0.0003465748,0.0001625465,0.000523078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402661,"about_ca_system_score_gemma":0.001603227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6833836,"about_ca_topic_score_gemma":0.833571,"domain_scores_codex":[0.9985312,0.00007697828,0.0001712105,0.0002408821,0.0005355806,0.0004442123],"domain_scores_gemma":[0.9989918,0.0001760048,0.0002923995,0.0002772569,0.00003456254,0.0002279461],"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":[0.00001214608,0.000006281672,0.0005210424,0.00001277448,0.0001623562,0.00001114079,0.002274982,4.264186e-7,1.325612e-7,0.01525526,0.979225,0.002518487],"study_design_scores_gemma":[0.0002412566,0.000009390441,0.0001502706,0.0001397274,0.00002271177,0.000001068871,0.01050327,1.232433e-7,9.163878e-7,0.0007077352,0.9879456,0.0002779214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003440915,0.0000953776,0.0001620837,0.002918003,0.0003708188,0.0004005352,0.003664195,0.0003034846,0.9920511],"genre_scores_gemma":[0.00247181,0.0001526908,0.00004547276,0.0001934991,0.0006731654,8.878879e-7,0.0002854976,0.0000736887,0.9961033],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1501873,"threshold_uncertainty_score":0.9999232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616533060311164,"score_gpt":0.2067655256430993,"score_spread":0.1906001950399876,"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."}}