{"id":"W6950076295","doi":"10.5281/zenodo.3776951","title":"National Archive of Data on Arts and Culture: Creating a Common Language through Infographics","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Public Safety Research and Treatment","funders":"","keywords":"Infographic; The arts; Presentation (obstetrics); Data visualization; Pie chart; Handicraft; Arts in education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01114147,0.0006894358,0.0009389803,0.01402157,0.00208077,0.01001958,0.002207955,0.001516061,0.06048892],"category_scores_gemma":[0.04610232,0.0006604963,0.0005879735,0.03341357,0.001545435,0.008108417,0.01055656,0.003385939,0.03136294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278198,"about_ca_system_score_gemma":0.009570697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652427,"about_ca_topic_score_gemma":0.01689361,"domain_scores_codex":[0.9943891,0.001878091,0.0009168838,0.0004714904,0.002035195,0.0003091178],"domain_scores_gemma":[0.9558723,0.01355442,0.003141164,0.01668649,0.007125466,0.003620235],"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":[0.00007577347,0.00002449124,0.001168085,0.0005874432,0.00001507221,0.00006903188,0.001806068,0.000286903,0.0002997805,0.02652948,0.9020234,0.06711444],"study_design_scores_gemma":[0.000009800845,0.000004073353,0.001408847,0.0002264537,0.00000487577,0.00003688131,0.0007228086,0.0001574726,0.0002103438,0.004382188,0.9928191,0.00001714723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003587679,0.001042959,0.03494715,0.007411231,0.002200767,0.000555969,0.845447,0.0159225,0.08888483],"genre_scores_gemma":[0.01916341,0.002067497,0.1233738,0.001956861,0.000868213,0.002008417,0.8161932,0.01303369,0.02133496],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06048892,"threshold_uncertainty_score":0.2023556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539372268558404,"score_gpt":0.3596021409957805,"score_spread":0.2056649141399401,"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."}}