{"id":"W2301078862","doi":"","title":"Social Balancing: No One Left Behind","year":2013,"lang":"en","type":"article","venue":"Divergent/Convergent","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","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":[0.006085264,0.0005214409,0.0009908165,0.001238524,0.004671869,0.006511255,0.001526252,0.004919101,0.02158143],"category_scores_gemma":[0.01433847,0.0002336811,0.0004256106,0.001033262,0.0189536,0.009701698,0.006010626,0.004036641,0.001533077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003265311,"about_ca_system_score_gemma":0.004180273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002282143,"about_ca_topic_score_gemma":0.003739126,"domain_scores_codex":[0.9953144,0.001662512,0.0001217901,0.0009446584,0.001129679,0.0008270948],"domain_scores_gemma":[0.9935716,0.001201067,0.0007266902,0.0007964912,0.001364496,0.002339648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005286513,0.0000420166,0.001942912,0.0000444598,0.00002807659,0.00006821041,0.001109471,0.0002575882,0.0003489249,0.9741153,0.004177251,0.01781298],"study_design_scores_gemma":[0.00002576286,0.00002618487,0.001189671,0.00008042657,0.00001304908,0.00006403146,0.001942838,0.0005733239,0.0001509829,0.9833719,0.01254938,0.0000125014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1907698,0.001676156,0.04286404,0.1111759,0.001358191,0.0001186934,0.0002141136,0.0001265383,0.6516965],"genre_scores_gemma":[0.9801027,0.0002174372,0.002455876,0.004151003,0.000253339,0.00003564439,0.00002806317,0.00005039149,0.01270564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02158143,"threshold_uncertainty_score":0.07219714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05563028273825171,"score_gpt":0.2383331962980975,"score_spread":0.1827029135598458,"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."}}