{"id":"W7008469495","doi":"","title":"Canada VMap1, Library 47: Interchange","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; Geographic information system; Base (topology); National library; 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":[0.001336064,0.001589432,0.0009167765,0.009987911,0.006933225,0.01311931,0.0041038,0.001127699,0.5353402],"category_scores_gemma":[0.009634652,0.0009576383,0.0007154659,0.03119767,0.001279086,0.004680867,0.003236205,0.001478909,0.4046677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03372582,"about_ca_system_score_gemma":0.07419425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.926928,"about_ca_topic_score_gemma":0.9063627,"domain_scores_codex":[0.9967379,0.0001444469,0.0001519585,0.0003602364,0.002080643,0.0005248025],"domain_scores_gemma":[0.9911713,0.0002365582,0.0001520749,0.0008974452,0.00679334,0.0007493448],"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":[0.00001740502,0.000007781062,0.000152536,0.00006363574,0.000002172521,0.0000182088,0.0001011744,0.00007394537,0.00007758126,0.004406021,0.9712644,0.02381517],"study_design_scores_gemma":[0.000003134502,0.000001226213,0.0004267102,0.00002655453,0.000001504688,0.00001443289,0.00007457865,0.00006543641,0.0001246309,0.0003527889,0.9989003,0.000008729091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006959897,0.000467854,0.002740955,0.0008286896,0.000371835,0.0002333994,0.2078477,0.0097034,0.7771102],"genre_scores_gemma":[0.005485606,0.001161942,0.005698805,0.0004226928,0.0001015801,0.0002134301,0.1806479,0.007437677,0.7988304],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5353402,"threshold_uncertainty_score":0.6627808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366520919123962,"score_gpt":0.2140603649420968,"score_spread":0.1903951557508571,"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."}}