{"id":"W2053258928","doi":"10.1177/0392192108096836","title":"Optimal Harmony, Mutual Enrichment and Strangification","year":2008,"lang":"en","type":"article","venue":"Diogenes","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Harmony (color); Epistemology; Democracy; Sociology; Cohesion (chemistry); Politics; Social harmony; Social science; Philosophy; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.000120156,0.00004731846,0.00005589021,0.0000285084,0.0005597567,0.00001044182,0.0000629352,0.00003305204,0.00005567545],"category_scores_gemma":[0.00001542906,0.00004553428,0.0000259042,0.00008209949,0.000183244,0.00008272559,0.00001035763,0.00002453699,0.00003239197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002089472,"about_ca_system_score_gemma":0.00003536501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001655767,"about_ca_topic_score_gemma":0.00004216806,"domain_scores_codex":[0.9995595,0.00004376332,0.00006386148,0.0001103829,0.0001328233,0.00008967723],"domain_scores_gemma":[0.9998074,0.00002287917,0.00002072572,0.0000645499,0.00002220589,0.00006230819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001970154,0.000537742,0.13584,0.0000471473,0.0001174192,0.0001057847,0.4048522,0.0002724074,0.02054944,0.3960966,0.01610613,0.02527821],"study_design_scores_gemma":[0.0008005318,0.000132918,0.112638,0.0000124389,0.00004424834,0.00002464361,0.001688693,0.0001050586,0.002597,0.01351127,0.8678277,0.0006175056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981232,0.001112596,0.00007445708,0.0007912173,0.0001581225,0.00007446784,0.000005297804,0.00003828034,0.0165136],"genre_scores_gemma":[0.9983788,0.0001768963,0.0002759958,0.00008018502,0.000303554,0.000006480509,0.000005613901,0.000003410765,0.0007690951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8517216,"threshold_uncertainty_score":0.4305253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04914585087616217,"score_gpt":0.2850384135732336,"score_spread":0.2358925626970714,"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."}}