{"id":"W7017883126","doi":"","title":"Canada VMap1, Library 16: Hydrography Text Features","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); Vector map; Product (mathematics); Hydrography; Topographic map (neuroanatomy); National library; Geographic information system","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":[0.00005425772,0.0003247332,0.0003184852,0.0005174499,0.0007434677,0.0002394721,0.001219519,0.0001411428,0.0007503353],"category_scores_gemma":[0.00002587246,0.0002256792,0.0002598467,0.0007455383,0.0008221892,0.0004752743,0.000335719,0.0002227831,0.000291818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001167335,"about_ca_system_score_gemma":0.00117126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6212433,"about_ca_topic_score_gemma":0.8086372,"domain_scores_codex":[0.998309,0.00009869273,0.0001602575,0.0002851201,0.0006277089,0.0005192121],"domain_scores_gemma":[0.9989008,0.00017622,0.000304689,0.0003212116,0.00002824599,0.00026879],"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":[0.00001360651,0.000007115879,0.0007296121,0.00001226251,0.0002486652,0.00001138058,0.002413247,3.705289e-7,7.643228e-8,0.04308496,0.9503649,0.00311374],"study_design_scores_gemma":[0.0002421973,0.00001243755,0.0004282658,0.000143629,0.00003177054,0.000001449757,0.01077206,4.041208e-8,5.670411e-7,0.001134075,0.9869133,0.0003202107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003211899,0.000174593,0.00006224967,0.002648879,0.0003406279,0.0004687427,0.003731762,0.000341396,0.9921997],"genre_scores_gemma":[0.006033555,0.0001568315,0.00004100278,0.0002426197,0.0004507228,0.000001203437,0.0003236147,0.00008083844,0.9926696],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1873939,"threshold_uncertainty_score":0.9202932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127362572962228,"score_gpt":0.2008696007672993,"score_spread":0.189595975037677,"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."}}