{"id":"W2223846508","doi":"10.5281/zenodo.44215","title":"gapminder: v0.2.0","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006644342,0.00009372762,0.000091423,0.0001780793,0.000800785,0.001378966,0.001837729,0.00003823963,0.001551946],"category_scores_gemma":[0.0005455064,0.00009638956,0.00002985949,0.0007309896,0.0000700328,0.0005928404,0.001589484,0.000124023,0.01335404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007764434,"about_ca_system_score_gemma":0.000007050591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000481412,"about_ca_topic_score_gemma":9.589797e-8,"domain_scores_codex":[0.9986237,0.00018541,0.0001764241,0.0003296615,0.0004255307,0.0002593214],"domain_scores_gemma":[0.9984409,0.00001023237,0.00006741282,0.0005894354,0.0006104648,0.0002815108],"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":[0.000006357282,0.0001057238,0.000003585593,0.00001096961,0.00001538758,0.0000141999,0.001139398,0.00007351331,0.0002150737,0.1538005,0.7571508,0.08746449],"study_design_scores_gemma":[0.0003194231,0.0000983401,0.00005124887,0.000006447865,0.000003143052,0.00006305173,0.0001335094,0.01455819,0.0002014205,0.001012463,0.9834301,0.0001226312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007543741,0.00004999068,0.7313846,0.002418772,0.0002089924,0.0001836037,0.00005595584,0.001621867,0.2633218],"genre_scores_gemma":[0.9671099,0.00008961393,0.01333896,0.002698358,0.0004762171,3.922565e-8,0.002859182,0.00194548,0.01148224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9663556,"threshold_uncertainty_score":0.9996577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0848012090833918,"score_gpt":0.2922256862018373,"score_spread":0.2074244771184455,"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."}}