{"id":"W6989764854","doi":"","title":"Canada VMap1, Library 16: Landform 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); Landform; Product (mathematics); Vector map; Topographic map (neuroanatomy); Geographic information system; Natural (archaeology)","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":[0.0004571374,0.001338654,0.0006977644,0.007328743,0.002792759,0.00422158,0.002214051,0.0005076489,0.3936192],"category_scores_gemma":[0.003162186,0.0007251501,0.0005472375,0.02443659,0.0005237667,0.001953092,0.0014266,0.0007403659,0.2072411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01318073,"about_ca_system_score_gemma":0.0374581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9400477,"about_ca_topic_score_gemma":0.9506509,"domain_scores_codex":[0.998897,0.00003360153,0.00004171287,0.0001250655,0.000733146,0.0001695644],"domain_scores_gemma":[0.997089,0.0000890222,0.00007751839,0.000209457,0.002297514,0.0002375606],"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":[0.00002231735,0.000009002021,0.0007098857,0.0001175542,0.000003554019,0.0000247421,0.0001474042,0.0002298928,0.0001391132,0.002209127,0.958952,0.03743546],"study_design_scores_gemma":[0.00000533994,0.000001858399,0.002835441,0.00004314428,0.000002465089,0.00002299238,0.0001180373,0.0001767902,0.0001933925,0.0003602821,0.9962268,0.00001349768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001268997,0.000267208,0.002556873,0.0002068693,0.00009342932,0.0001729499,0.7108631,0.005131972,0.2794385],"genre_scores_gemma":[0.01079201,0.0009938313,0.00992548,0.0001421068,0.00004872033,0.0002749468,0.630698,0.004587966,0.3425368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3936192,"threshold_uncertainty_score":0.8649286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725236974954189,"score_gpt":0.209367796723862,"score_spread":0.1921154269743202,"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."}}