{"id":"W3110691453","doi":"10.15353/acmla.n165.1886","title":"Drones in Libraries: The Development of an Interdisciplinary Research Service Using Drones and 3D Modeling Technologies at Ryerson University Library","year":2020,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Drone; Service (business); Resilience (materials science); Aeronautics; Certification; Service model; Engineering; Engineering management; Coronavirus disease 2019 (COVID-19); Library science; Computer science; Political science; Business; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006941823,0.000485703,0.0004625048,0.002486928,0.01136901,0.01161602,0.002248173,0.0019709,0.02854514],"category_scores_gemma":[0.004938733,0.000694559,0.0004906032,0.003009767,0.003487944,0.005135955,0.01377009,0.003044222,0.007719721],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009013846,"about_ca_system_score_gemma":0.04443399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1923699,"about_ca_topic_score_gemma":0.3642779,"domain_scores_codex":[0.994758,0.001340255,0.0001611803,0.0005892629,0.002340539,0.0008108789],"domain_scores_gemma":[0.990448,0.000684324,0.0002060549,0.0008278552,0.002693129,0.005140738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003433329,0.0005571696,0.008408499,0.0008773704,0.00004474232,0.002009936,0.06237809,0.002045957,0.01725167,0.04210802,0.4248926,0.4390825],"study_design_scores_gemma":[0.00001628798,0.00005113527,0.001614888,0.0001152606,0.000006617879,0.0001383042,0.01152982,0.0005560768,0.001836458,0.0007054942,0.9833919,0.00003775545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1616662,0.01166086,0.09687599,0.1181942,0.00447992,0.003426536,0.006452476,0.01548099,0.5817629],"genre_scores_gemma":[0.2499285,0.008815623,0.1597109,0.005704192,0.001156296,0.001004527,0.003931557,0.003060912,0.5666875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9909862,"threshold_uncertainty_score":0.3825005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04676583062140122,"score_gpt":0.2218257258130174,"score_spread":0.1750598951916162,"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."}}