{"id":"W2786059474","doi":"10.5539/ass.v14n2p75","title":"Power Imbalances in Mediation","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Conflict Management and Negotiation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mediation; Power (physics); Process (computing); Mediator; Psychology; Balance (ability); Computer science; Social psychology; Political science; Law; Neuroscience; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270728,0.00004221423,0.00005515515,0.0001286288,0.0008853531,0.0001208037,0.0003098831,0.00003802137,0.0003930668],"category_scores_gemma":[0.0002226236,0.00004406908,0.00001734936,0.001467526,0.001120455,0.0006246541,0.00003964139,0.00004365608,0.0001315966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443316,"about_ca_system_score_gemma":0.0001568851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003577302,"about_ca_topic_score_gemma":0.002736813,"domain_scores_codex":[0.9988487,0.00005272078,0.00009761233,0.000175849,0.0005284484,0.0002966406],"domain_scores_gemma":[0.9997334,0.00001827175,0.00005503605,0.0000562334,0.00008732762,0.00004967458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007359116,0.00003596369,0.03345957,0.000001316336,0.000001836034,0.000001324103,0.1737221,1.925283e-8,0.0008392047,0.5505806,0.001726678,0.2396241],"study_design_scores_gemma":[0.000135806,0.00002496867,0.8303604,0.000003778252,0.000001366674,3.011646e-8,0.01238912,0.000009306023,0.0001260285,0.006349707,0.1504889,0.0001106006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08448215,0.000005977153,0.00005499338,0.005211589,0.0005135082,0.0001132698,3.310752e-7,0.00004194196,0.9095762],"genre_scores_gemma":[0.9983812,0.000007527455,0.00004283329,0.0002485038,0.0005277944,0.000004685824,4.624463e-7,0.000002016934,0.0007849676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9138991,"threshold_uncertainty_score":0.680951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344509568438794,"score_gpt":0.3221868528091419,"score_spread":0.3087417571247539,"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."}}