{"id":"W7065001132","doi":"","title":"Creating Visualizations of Digital Collections with Viewshare: Paper - iPRES 2012 - Digital Curation Institute, iSchool, Toronto","year":2012,"lang":"en","type":"article","venue":"Phaidra (Universität Wien)","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital curation; Data curation; Digital collections; Visualization; Data visualization; User interface","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":[0.001885884,0.001100908,0.0006360497,0.004674784,0.001974915,0.005768404,0.001168914,0.0009354816,0.1257955],"category_scores_gemma":[0.005461815,0.001047852,0.00109581,0.004949019,0.0009070764,0.003745372,0.005795805,0.001821603,0.0215457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359458,"about_ca_system_score_gemma":0.002607667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02345165,"about_ca_topic_score_gemma":0.08468213,"domain_scores_codex":[0.9991421,0.0001367902,0.00003846902,0.0001101071,0.000492568,0.00007997458],"domain_scores_gemma":[0.9950995,0.001710131,0.000109447,0.001561655,0.0009899231,0.0005293571],"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":[0.0002673751,0.0001646277,0.002034504,0.0008566949,0.00008735508,0.000593927,0.007423367,0.002926693,0.01594768,0.01802813,0.649943,0.3017267],"study_design_scores_gemma":[0.00007391032,0.00003505205,0.004674775,0.0002118723,0.00003060996,0.0002932223,0.001239095,0.006433273,0.01125399,0.005493033,0.9701405,0.0001205859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02439021,0.001888394,0.4512659,0.005032405,0.001758367,0.0008324739,0.05496112,0.1577216,0.3021496],"genre_scores_gemma":[0.1246061,0.00388113,0.510239,0.0007085361,0.0006110424,0.0009276996,0.06291313,0.0767968,0.2193166],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9942316,"threshold_uncertainty_score":0.4208279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476716324941505,"score_gpt":0.2157772402130067,"score_spread":0.2010100769635917,"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."}}