{"id":"W6964346652","doi":"10.25549/webster-c100-13885","title":"The Widening Divide, 1989-06","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Newspaper; Poverty; Inequality; Economic Justice; Variety (cybernetics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001051377,0.0008668697,0.0008067802,0.003095902,0.001044817,0.002971624,0.001799707,0.0009226684,0.01256883],"category_scores_gemma":[0.004427325,0.0006217452,0.0005173213,0.009519298,0.0002666449,0.001213948,0.001979231,0.001453971,0.0170053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571032,"about_ca_system_score_gemma":0.003214071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.210127,"about_ca_topic_score_gemma":0.3041818,"domain_scores_codex":[0.9990832,0.00009858944,0.0001204855,0.0001936182,0.0003296869,0.000174382],"domain_scores_gemma":[0.9973863,0.0002210334,0.00045327,0.0003238948,0.001303369,0.0003121962],"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":[0.00003827953,0.00002760696,0.01080309,0.0001349365,0.00001407738,0.00002239077,0.00006341514,0.0001067729,0.00001806909,0.0002552252,0.985664,0.002852071],"study_design_scores_gemma":[0.0002287118,0.00003014103,0.2239169,0.0003347581,0.00003805376,0.00007197263,0.0008712705,0.0006706121,0.0003009512,0.0004409966,0.7730623,0.00003337829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00158313,0.0001332179,0.00002125758,0.0002595578,0.00004165603,0.00001108644,0.9969975,0.00006275468,0.0008898262],"genre_scores_gemma":[0.002267971,0.0001461236,0.00007989675,0.00005893999,0.00002387396,0.00007051832,0.9960834,0.00001887961,0.001250337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.210127,"threshold_uncertainty_score":0.4178079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004501155433841966,"score_gpt":0.1440450353503512,"score_spread":0.1395438799165093,"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."}}