{"id":"W2343389310","doi":"","title":"Historical map digitization in libraries: Collaborative approaches for large map series","year":2016,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Series (stratigraphy); Computer science; Information retrieval; Computer graphics (images); Cartography; Geography; Computer vision; Geology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04235647,0.0009867605,0.001360922,0.01596042,0.01208141,0.02186822,0.007827945,0.002341385,0.01143982],"category_scores_gemma":[0.1075311,0.001675284,0.001738535,0.02634184,0.005996273,0.02228257,0.02053641,0.002607845,0.001970572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01055442,"about_ca_system_score_gemma":0.01630195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04727091,"about_ca_topic_score_gemma":0.09232868,"domain_scores_codex":[0.9558535,0.02309678,0.003449756,0.00594803,0.01037147,0.001280471],"domain_scores_gemma":[0.8756691,0.0594289,0.008249698,0.04024139,0.01340829,0.003002584],"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":[0.0001417085,0.0003619073,0.01011911,0.001048852,0.0001857826,0.0005979136,0.1451462,0.006439189,0.003277626,0.1010306,0.01605764,0.7155936],"study_design_scores_gemma":[0.0001800589,0.0002813796,0.01604432,0.001460564,0.0004890569,0.0009791087,0.1955124,0.04937879,0.007771681,0.1612628,0.5662791,0.0003607318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06640529,0.001812447,0.826331,0.006064789,0.0002411235,0.00263245,0.001144687,0.004099273,0.09126902],"genre_scores_gemma":[0.206103,0.001205402,0.7770488,0.0002470537,0.0001645971,0.001634735,0.00128949,0.0008723368,0.0114346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9781318,"threshold_uncertainty_score":0.2240052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040038123981844,"score_gpt":0.2985838983951949,"score_spread":0.1945800859970105,"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."}}