{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005096797,0.0002439215,0.0002749837,0.0002926678,0.000550585,0.000163129,0.0008379698,0.0001039757,0.0007960205],"category_scores_gemma":[0.00003211827,0.0001620521,0.0001506963,0.0003981153,0.0004595682,0.0004420746,0.0002983382,0.0001432408,0.0004075321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280983,"about_ca_system_score_gemma":0.001375691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6600308,"about_ca_topic_score_gemma":0.8644559,"domain_scores_codex":[0.9987164,0.00005128973,0.0001561179,0.0002010993,0.0004737851,0.0004013785],"domain_scores_gemma":[0.9991211,0.0001452733,0.00026469,0.0002378054,0.00002943708,0.0002017292],"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":[0.00001126956,0.000004625691,0.000913971,0.0000131666,0.0001371568,0.000008269789,0.002164941,2.908538e-7,3.546033e-8,0.02478614,0.9699234,0.002036777],"study_design_scores_gemma":[0.0002337015,0.000009012705,0.0001744892,0.0001343299,0.00002073426,9.032337e-7,0.009586698,1.232275e-7,4.408777e-7,0.0008436766,0.988752,0.0002439047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003203064,0.00006930635,0.000111892,0.002642222,0.0003453348,0.0003513866,0.003740876,0.0002660042,0.9924409],"genre_scores_gemma":[0.002823631,0.0001250859,0.00002923047,0.000175403,0.00060056,7.812939e-7,0.0003353726,0.00006025675,0.9958497],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2044251,"threshold_uncertainty_score":0.8715866,"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."}}