{"id":"W4300294511","doi":"10.1002/cjas.233","title":"Acknowledgements - Remerciements","year":2011,"lang":"fr","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science; Information retrieval","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":["insufficient_payload"],"category_scores_codex":[0.01099055,0.001014863,0.001899244,0.004174676,0.002720771,0.004273555,0.003517151,0.0009209772,0.3067124],"category_scores_gemma":[0.09147207,0.0004097022,0.001668987,0.002847193,0.001281823,0.002711832,0.006044765,0.00302019,0.09373384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007093486,"about_ca_system_score_gemma":0.01371811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0545533,"about_ca_topic_score_gemma":0.06851824,"domain_scores_codex":[0.980738,0.004019159,0.001726651,0.0009770954,0.0108702,0.00166888],"domain_scores_gemma":[0.814201,0.01535946,0.003163211,0.007751002,0.1396274,0.01989792],"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":[0.0006053956,0.0001588078,0.004295161,0.0008001892,0.00005554647,0.001089127,0.003801467,0.0004828341,0.004145168,0.01885958,0.905612,0.06009457],"study_design_scores_gemma":[0.0001257534,0.00007699465,0.01429999,0.0006829218,0.00007629326,0.0010482,0.007714905,0.0007876196,0.002096319,0.008182388,0.9648347,0.00007389914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0372236,0.01165946,0.01811207,0.2503563,0.154375,0.004528108,0.1173001,0.004519773,0.4019257],"genre_scores_gemma":[0.1721611,0.004087877,0.01574328,0.01433741,0.01699677,0.001787145,0.02278916,0.002045951,0.7500513],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6932876,"threshold_uncertainty_score":0.9888907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3061412867314612,"score_gpt":0.4160657801327866,"score_spread":0.1099244934013254,"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."}}