{"id":"W7027252821","doi":"","title":"Canada VMap1, Library 16: Elevation 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); Digital elevation model; Vector map; Topographic map (neuroanatomy); Product (mathematics); Geographic information system; Base (topology); Elevation (ballistics)","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":[0.0005426844,0.00132196,0.0008080358,0.005717977,0.003029451,0.004999924,0.002459595,0.0005523544,0.3055966],"category_scores_gemma":[0.003612683,0.0008326473,0.0005779887,0.02560968,0.0005619315,0.001902772,0.0017679,0.0009504564,0.1820184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01459017,"about_ca_system_score_gemma":0.04556093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9468737,"about_ca_topic_score_gemma":0.9546513,"domain_scores_codex":[0.9986563,0.0000412725,0.00004879172,0.0001499432,0.000900929,0.0002027238],"domain_scores_gemma":[0.9970827,0.0000687772,0.00006892928,0.0002156384,0.002323926,0.0002399636],"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":[0.00003212884,0.000008560082,0.0008499197,0.0001008815,0.000004599912,0.00002801614,0.0001492332,0.0003618275,0.0001393023,0.002681199,0.9625726,0.03307168],"study_design_scores_gemma":[0.00001111585,0.00000263843,0.003351146,0.00004945116,0.000004147043,0.00002778574,0.0001190482,0.0003715803,0.0002918692,0.0006060383,0.9951444,0.00002063404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001398383,0.0003583497,0.004092046,0.0003167863,0.0001418711,0.000192813,0.6707855,0.006952643,0.3157615],"genre_scores_gemma":[0.01555176,0.001352348,0.01644177,0.0001694864,0.0000817211,0.0003663949,0.5874985,0.005829256,0.3727087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3055966,"threshold_uncertainty_score":0.9904822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649700227883181,"score_gpt":0.2073704933622911,"score_spread":0.1908734910834593,"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."}}