{"id":"W6999081070","doi":"","title":"Canada VMap1, Library 38: Processing Points","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; Topographic map (neuroanatomy); Digital mapping; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007424686,0.001447661,0.0008425472,0.008182243,0.004381001,0.006006251,0.002697538,0.0005532778,0.291126],"category_scores_gemma":[0.005175842,0.0009509714,0.0007438414,0.02344856,0.0006092269,0.001843689,0.001971312,0.000893914,0.2042486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01605904,"about_ca_system_score_gemma":0.05259826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.926842,"about_ca_topic_score_gemma":0.9117925,"domain_scores_codex":[0.9980111,0.00004766793,0.00006962536,0.0002662149,0.001330218,0.0002751337],"domain_scores_gemma":[0.994943,0.0001156052,0.00009954116,0.0003227244,0.00419878,0.0003204249],"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":[0.00006074064,0.0000137738,0.001117184,0.0001276613,0.000006498574,0.00004137753,0.0002364179,0.0005734141,0.0003891643,0.003416145,0.9245482,0.06946943],"study_design_scores_gemma":[0.00001392817,0.000005033395,0.004118762,0.00005899371,0.000007139924,0.00003268429,0.0002318664,0.0007897099,0.0009921036,0.0008132743,0.9929065,0.00002993541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003752892,0.0004239474,0.0134099,0.0005114098,0.0002101137,0.0006269885,0.5688167,0.01558259,0.3966656],"genre_scores_gemma":[0.02212423,0.001128956,0.04821366,0.000207844,0.00009696613,0.0008064479,0.5114203,0.008678189,0.4073234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.291126,"threshold_uncertainty_score":0.9739136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173652983957741,"score_gpt":0.21300039827887,"score_spread":0.1956350998830959,"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."}}