{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001748519,0.00006254837,0.000175974,0.0004615538,0.0009039671,0.00004011995,0.0003122187,0.0001007228,0.00006920276],"category_scores_gemma":[0.0004636244,0.00005903771,0.00004990592,0.0009259431,0.0005125349,0.001503762,0.0001256278,0.00007427783,0.0000260617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175933,"about_ca_system_score_gemma":0.0002880362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003664843,"about_ca_topic_score_gemma":0.008169983,"domain_scores_codex":[0.9984882,0.0002530967,0.0001409843,0.0001576878,0.0005811019,0.00037887],"domain_scores_gemma":[0.9986338,0.0004305097,0.00009800413,0.0001208384,0.0006366281,0.00008021542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001934363,0.0000483794,0.08050334,0.00008162145,0.00002257117,0.000002015296,0.04144827,8.170778e-7,0.000006833787,0.8452575,0.03179341,0.0008158727],"study_design_scores_gemma":[0.0005444474,0.0000753697,0.007694259,0.00003697091,0.000002090766,6.340507e-8,0.1297977,0.000008879211,0.00001466401,0.005212168,0.8565384,0.00007499585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07532937,0.0008606814,0.04439992,0.2287985,0.001420554,0.007987053,0.0008111687,0.0004652796,0.6399274],"genre_scores_gemma":[0.9290808,0.0001645241,0.001809221,0.000009153508,0.00008629136,0.00001216245,0.00001214607,0.000007989708,0.06881772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8537514,"threshold_uncertainty_score":0.6952676,"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."}}