{"id":"W7056897693","doi":"","title":"Geospatial Data Preservation Prime","year":2013,"lang":"en","type":"book","venue":"Maynooth University ePrints and eTheses Archive (Maynooth University)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Geospatial analysis; Custodians; Digital preservation; Scope (computer science); Spatial data infrastructure; Situation awareness; Best practice; Data breach; Data access","routes":{"ca_aff":false,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001662753,0.0006087419,0.0006156942,0.0008253492,0.0002857638,0.00009286751,0.001857146,0.0005801959,0.001248229],"category_scores_gemma":[0.00004853773,0.0007612446,0.0001363648,0.0002011328,0.0004150539,0.0007771332,0.002062805,0.001004161,0.0001469985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909504,"about_ca_system_score_gemma":0.0002034029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124808,"about_ca_topic_score_gemma":0.0008939856,"domain_scores_codex":[0.9977216,0.0001443644,0.0002512667,0.0009677277,0.0003617027,0.0005533061],"domain_scores_gemma":[0.9974483,0.000349331,0.0001676769,0.001606968,0.000111142,0.0003165632],"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":[0.0005905791,0.0002887456,0.001194205,0.002526622,0.001965541,0.001677216,0.006633744,0.0007291641,0.00115265,0.1399947,0.7301857,0.1130611],"study_design_scores_gemma":[0.0005298888,0.00009223814,0.001298924,0.0002417552,0.0002167511,0.000009135863,0.0002889088,0.00768689,0.0000612123,0.002277287,0.9864546,0.0008424005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004213289,0.0001323002,0.02039152,0.0002174771,0.0002744895,0.001075738,0.000963511,0.001072531,0.9716591],"genre_scores_gemma":[0.004256281,0.004380282,0.00924315,0.00006685305,0.0002549698,5.251092e-7,0.0009622448,0.0001437813,0.9806919],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2562688,"threshold_uncertainty_score":0.9996648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065412592449008,"score_gpt":0.1669316778281071,"score_spread":0.146277551903617,"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."}}