{"id":"W4206386309","doi":"10.7202/1023242ar","title":"Arbitration Statistics","year":2014,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arbitration; Statistics; Computer science; Mathematics; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000866282,0.00009618436,0.0001378745,0.000152362,0.0003048757,0.0001432191,0.0002653131,0.0001217618,0.0004392446],"category_scores_gemma":[0.01816158,0.00008097602,0.00002384573,0.0006524396,0.00009762542,0.0003022387,0.00004429997,0.000301654,0.001143453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003850459,"about_ca_system_score_gemma":0.00007174798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005623659,"about_ca_topic_score_gemma":0.000005527089,"domain_scores_codex":[0.9981383,0.0001299113,0.000498948,0.0002878402,0.0007685057,0.0001765011],"domain_scores_gemma":[0.9951924,0.003865627,0.0001715382,0.0003481242,0.0003159932,0.0001063046],"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":[0.000006017982,0.00002968495,0.01084092,4.544872e-7,0.000006261621,0.000001568492,0.0001735973,0.009597508,0.0000760437,0.5883192,0.02355016,0.3673986],"study_design_scores_gemma":[0.0002251542,0.00004871924,0.009344253,0.00001010673,0.0000124067,0.000002981422,0.0003587769,0.05180099,0.0004173839,0.7119688,0.2256208,0.0001895661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004524357,0.00002700287,0.9560415,0.0005228352,0.0002992807,0.00007695644,0.00003412622,0.00005727889,0.03841668],"genre_scores_gemma":[0.9264698,0.000002790538,0.06777859,0.00007105988,0.0002108006,0.000007994217,0.00001482088,0.00001050736,0.005433622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9219455,"threshold_uncertainty_score":0.9996343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077530157886229,"score_gpt":0.3921552847532326,"score_spread":0.2844022689646098,"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."}}