{"id":"W4252925610","doi":"10.1002/gch2.202070102","title":"Masthead: (Global Challenges 10/2020)","year":2020,"lang":"en","type":"paratext","venue":"Global Challenges","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of South Australia; Monash University; University of Exeter; Global Institute for Water Security, University of Saskatchewan; National Taiwan University; Lunds Universitet; University of South Florida; Universitat de Girona","keywords":"Citation; Computer science; Library science; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007448633,0.001024223,0.001377253,0.0000645968,0.0006898561,0.0002351873,0.002099805,0.001632464,0.01162106],"category_scores_gemma":[0.0002376852,0.001113168,0.0005820807,0.0004158292,0.0008121313,0.0003246175,0.000559025,0.0006043572,0.05904877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003032909,"about_ca_system_score_gemma":0.001921769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006810562,"about_ca_topic_score_gemma":0.004127042,"domain_scores_codex":[0.9937832,0.000655322,0.0008101023,0.001825129,0.001384597,0.001541677],"domain_scores_gemma":[0.997423,0.0002103348,0.0005662966,0.0006571594,0.0002328339,0.0009104077],"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":[0.00006113821,0.0001097775,0.00002124511,0.00022697,0.0004488365,0.00008315893,0.005369612,0.00001174087,8.034721e-8,0.09814239,0.8047589,0.09076615],"study_design_scores_gemma":[0.000384146,0.0001016615,0.000981034,0.0002083872,0.00006657399,0.00001331517,0.01233493,0.000001860512,2.820233e-7,0.005396506,0.979441,0.001070265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.00008733627,0.1442752,0.00000656946,0.1097678,0.004492301,0.0003990448,0.0006378209,0.0002880298,0.7400459],"genre_scores_gemma":[0.03127107,0.7339924,0.0006085072,0.00134694,0.01069336,0.0002609172,0.0004833591,0.0001383083,0.2212052],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5897171,"threshold_uncertainty_score":0.9996637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08251403016320008,"score_gpt":0.3366547059815729,"score_spread":0.2541406758183728,"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."}}