{"id":"W7017800799","doi":"","title":"Canada VMap1, Library 47: Well Spring 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; Topographic map (neuroanatomy); Geographic information system; Natural resource; Base (topology)","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":[0.0005305434,0.001059867,0.0006421614,0.004955405,0.006060666,0.006278339,0.001919458,0.000640486,0.5102158],"category_scores_gemma":[0.003526413,0.0006736179,0.0004677494,0.01538196,0.0006845503,0.002000001,0.001713148,0.0007884931,0.2470179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02010425,"about_ca_system_score_gemma":0.06458817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9476342,"about_ca_topic_score_gemma":0.9671196,"domain_scores_codex":[0.9988834,0.00003208458,0.00003152438,0.0001416352,0.0007194086,0.0001918804],"domain_scores_gemma":[0.9967946,0.00009499866,0.0000619805,0.000193537,0.002463814,0.0003910734],"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":[0.00002665622,0.00001052277,0.0005319417,0.00009011262,0.000002291254,0.00003182458,0.0001617871,0.000117803,0.00009633215,0.002568262,0.9608765,0.03548602],"study_design_scores_gemma":[0.000004122722,0.000002302045,0.001915251,0.00003363239,0.000001949131,0.00001803305,0.0001462578,0.00009058302,0.0001628744,0.0002636987,0.9973518,0.000009566894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001878038,0.000506154,0.001643916,0.0005826297,0.0001975628,0.0002255166,0.2262598,0.003851532,0.7648547],"genre_scores_gemma":[0.008151179,0.0008515152,0.003500535,0.0001773464,0.00004580035,0.0001211623,0.104316,0.002152425,0.880684],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5102158,"threshold_uncertainty_score":0.6986178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463813787758239,"score_gpt":0.200373053115024,"score_spread":0.1857349152374416,"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."}}