{"id":"W63491074","doi":"10.60082/0829-3929.1013","title":"Family Arbitration: One Step Forward, Two Steps Back","year":2007,"lang":"en","type":"article","venue":"Journal of Law and Social Policy","topic":"Legal Systems and Judicial Processes","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Arbitration; Two step; Computer science; Political science; Law; Mathematics; Applied mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.006011816,0.000343798,0.000482357,0.0008769367,0.01166458,0.007678127,0.001566134,0.003586251,0.01176133],"category_scores_gemma":[0.01025783,0.0003967427,0.0005083345,0.001127706,0.01568372,0.005314423,0.005867188,0.003677929,0.0009988877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04234022,"about_ca_system_score_gemma":0.06521227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.631138,"about_ca_topic_score_gemma":0.7296845,"domain_scores_codex":[0.9915105,0.002642894,0.0002542673,0.001014832,0.002901859,0.001675705],"domain_scores_gemma":[0.9964377,0.000776999,0.0003985947,0.0004782786,0.001133719,0.0007747222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003604003,0.00001729863,0.002976005,0.000101477,0.0000147599,0.0003272652,0.01835563,0.0003240066,0.0002677506,0.9232491,0.01458285,0.03974778],"study_design_scores_gemma":[0.00004705416,0.00005625033,0.009639601,0.0006308958,0.00003858835,0.0003789989,0.0168247,0.001278936,0.0008621209,0.1450882,0.8250802,0.00007450394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.08952441,0.0184849,0.03262624,0.2621445,0.001619803,0.0002515334,0.0001985414,0.0001529696,0.5949971],"genre_scores_gemma":[0.8296007,0.004253175,0.007727066,0.008018779,0.0002375142,0.00008116033,0.00004186251,0.00005478066,0.149985],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.631138,"threshold_uncertainty_score":0.7420685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947905874857221,"score_gpt":0.3534682110478782,"score_spread":0.313989152299306,"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."}}