{"id":"W2340396877","doi":"10.5281/zenodo.21971","title":"gapminder: Turned on integration with Zenodo","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001995264,0.001235013,0.001200263,0.0006854251,0.0004943183,0.003751389,0.003094819,0.001265958,0.06903796],"category_scores_gemma":[0.005833331,0.001030122,0.001377704,0.0005873736,0.0007234742,0.003671609,0.003381584,0.002707994,0.03927282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009170928,"about_ca_system_score_gemma":0.001281222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003053815,"about_ca_topic_score_gemma":0.002453874,"domain_scores_codex":[0.9983128,0.0002953181,0.0001056432,0.0004742258,0.0004997284,0.0003121958],"domain_scores_gemma":[0.9981261,0.0004878459,0.00005149361,0.0007571211,0.0003146665,0.0002626574],"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":[0.005009084,0.0003621838,0.004861458,0.001698983,0.0005522766,0.0007766594,0.0009262915,0.008106271,0.02712197,0.04055426,0.6963412,0.2136895],"study_design_scores_gemma":[0.0009314379,0.0002972184,0.002232927,0.0002754843,0.0001707705,0.000432021,0.0001583296,0.07083029,0.04207261,0.03154151,0.8508558,0.0002015344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01789189,0.001971877,0.2068942,0.00141764,0.002036343,0.0003367603,0.01241274,0.6972625,0.05977605],"genre_scores_gemma":[0.2754408,0.001879349,0.2523844,0.004140612,0.0006537263,0.000993166,0.0666588,0.3120182,0.08583092],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.06903796,"threshold_uncertainty_score":0.230955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2346158349201445,"score_gpt":0.3435185228481094,"score_spread":0.1089026879279649,"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."}}