{"id":"W6989585414","doi":"","title":"Canada VMap1, Library 16: Danger Point 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); Product (mathematics); Vector map; Base (topology); Geographic information system; Point (geometry); Digital mapping; Topographic map (neuroanatomy)","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":[0.0006153261,0.001051828,0.0006600507,0.007300984,0.004609999,0.006287361,0.002457591,0.0007082573,0.4053555],"category_scores_gemma":[0.005024801,0.0007258125,0.0005370145,0.02083234,0.0007229738,0.002267718,0.002008705,0.0008703123,0.2018384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01777113,"about_ca_system_score_gemma":0.05851117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9381446,"about_ca_topic_score_gemma":0.9510613,"domain_scores_codex":[0.9986579,0.00003596221,0.00004365455,0.0001078242,0.0009518596,0.000202684],"domain_scores_gemma":[0.9952552,0.0001446845,0.0001128326,0.000271655,0.003771612,0.0004440831],"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":[0.00002322859,0.00000864719,0.0005578513,0.0001037092,0.000001952703,0.00003271579,0.0001740119,0.0001478994,0.00009355303,0.002396626,0.9627656,0.03369419],"study_design_scores_gemma":[0.000004341567,0.0000020958,0.001771814,0.00003963606,0.000002263838,0.0000254651,0.0001444381,0.0001073843,0.0001426322,0.000352106,0.9973956,0.00001219781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001935758,0.0004532277,0.002416316,0.0007260963,0.000231467,0.0003113904,0.3454003,0.006314932,0.6422107],"genre_scores_gemma":[0.0128376,0.001173242,0.00848621,0.0002735018,0.00008374491,0.0002632221,0.213977,0.004339718,0.7585657],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4053555,"threshold_uncertainty_score":0.8481882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289534592983373,"score_gpt":0.2044626905805662,"score_spread":0.1915673446507325,"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."}}