{"id":"W7008477337","doi":"","title":"Canada VMap1, Library 17: Marsh/Swamp Areas","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; Geographic information system; Digital mapping; Base (topology); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006214259,0.0003050139,0.0003173845,0.0003505876,0.0006436037,0.0002015495,0.001189996,0.0001255739,0.001438958],"category_scores_gemma":[0.00003557638,0.0002181356,0.0001843627,0.0005006571,0.0006606062,0.0005043652,0.0003984894,0.0001870807,0.0005336626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495467,"about_ca_system_score_gemma":0.001783333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5678585,"about_ca_topic_score_gemma":0.7605687,"domain_scores_codex":[0.9983237,0.0000942329,0.0001770764,0.000273846,0.0006209362,0.0005102573],"domain_scores_gemma":[0.998857,0.0001870349,0.0003181718,0.0003248338,0.00003325205,0.0002797097],"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":[0.0000137549,0.000006348733,0.0008541021,0.00001148129,0.0001818124,0.00001851187,0.002476568,5.184557e-7,5.158129e-8,0.03540823,0.9594945,0.00153416],"study_design_scores_gemma":[0.0002498572,0.000009838297,0.0003764462,0.000161135,0.00002667085,0.000001442492,0.01043161,1.466686e-7,2.469159e-7,0.001021684,0.9874099,0.0003109778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002442015,0.00006378235,0.0001132044,0.002725283,0.0003378508,0.0004550563,0.004665118,0.000299853,0.9913154],"genre_scores_gemma":[0.001513573,0.00009642031,0.0000428993,0.0002517877,0.0004502503,0.00000104684,0.0003329673,0.00007624436,0.9972348],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1927101,"threshold_uncertainty_score":0.9994739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593489599298654,"score_gpt":0.2044432059484114,"score_spread":0.1885083099554249,"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."}}