{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000685094,0.001144559,0.0006437412,0.003790874,0.004706319,0.005613413,0.002070211,0.001003769,0.7676759],"category_scores_gemma":[0.005974267,0.0007155174,0.00034004,0.0118425,0.0006634296,0.002125226,0.00153726,0.0008632269,0.6024168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0151425,"about_ca_system_score_gemma":0.0447242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8529796,"about_ca_topic_score_gemma":0.8672942,"domain_scores_codex":[0.9986401,0.0000665249,0.00005381271,0.0001902789,0.0007813863,0.0002678398],"domain_scores_gemma":[0.9940484,0.0002810086,0.0001067218,0.0004095683,0.004473132,0.0006811874],"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":[0.00001611039,0.000007225504,0.0001591276,0.00004183503,6.987485e-7,0.0000133325,0.00005824148,0.0000417095,0.00005469763,0.001179274,0.9811934,0.01723444],"study_design_scores_gemma":[0.000005211095,0.000002606454,0.0007592686,0.00002462295,0.00000112026,0.00001235706,0.0000838284,0.00007098301,0.0001040918,0.0001544896,0.9987745,0.000007008337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.000766141,0.0002120275,0.0009072074,0.000561188,0.0001677474,0.0002059051,0.1179544,0.003424951,0.8758005],"genre_scores_gemma":[0.002694645,0.0002991206,0.0009434238,0.0001725331,0.00003632391,0.00009969978,0.0381443,0.001275657,0.9563344],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7676759,"threshold_uncertainty_score":0.3313822,"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."}}