{"id":"W4232058414","doi":"10.1002/cjs.11138","title":"Acknowledgement of referees' services Remerciements aux membres des jurys","year":2012,"lang":"fr","type":"article","venue":"Canadian Journal of Statistics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Citation; Library science; World Wide Web; Computer science; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009694426,0.001585458,0.003167356,0.005794725,0.004538837,0.00590575,0.003016026,0.00349377,0.2155067],"category_scores_gemma":[0.1600926,0.0006646116,0.00264864,0.004349044,0.0013413,0.002165132,0.007672657,0.005396837,0.09412924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005846168,"about_ca_system_score_gemma":0.01247658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03224955,"about_ca_topic_score_gemma":0.03657884,"domain_scores_codex":[0.9784539,0.004401497,0.002692124,0.001851751,0.01107265,0.00152823],"domain_scores_gemma":[0.7089397,0.02212626,0.007195759,0.007649172,0.2346208,0.01946842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008151284,0.00001412826,0.0002793092,0.000147313,0.00002033253,0.0004096506,0.0003853504,0.00004863985,0.0005299321,0.000763865,0.9888958,0.008424283],"study_design_scores_gemma":[0.00003670051,0.00003449763,0.00327727,0.0001926111,0.00004288667,0.0005936746,0.00102535,0.0002513338,0.0003860593,0.000911074,0.9931941,0.00005440863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.003501171,0.01449455,0.00518154,0.2467655,0.6849804,0.0008312445,0.01221226,0.002550225,0.02948323],"genre_scores_gemma":[0.04255863,0.007941317,0.007222319,0.0540654,0.2108307,0.001965355,0.006721988,0.003095398,0.6655988],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7844933,"threshold_uncertainty_score":0.7209418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0598666559965773,"score_gpt":0.2456131416986257,"score_spread":0.1857464857020484,"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."}}