{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.01059978,0.0004991696,0.000582835,0.00123878,0.005523879,0.00105123,0.002770644,0.0003855146,0.01357641],"category_scores_gemma":[0.004592631,0.0005261108,0.0003274418,0.004548552,0.0307513,0.003610611,0.00004989104,0.0007130544,0.000262239],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002591373,"about_ca_system_score_gemma":0.05346319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03402574,"about_ca_topic_score_gemma":0.7579773,"domain_scores_codex":[0.9928277,0.00129218,0.001489801,0.0007908744,0.0007759699,0.002823492],"domain_scores_gemma":[0.9912336,0.0003389643,0.001248102,0.0003148128,0.002006073,0.004858386],"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":[0.0001437331,0.0007438782,0.04416451,0.0003466832,0.0002969386,0.002417668,0.2422569,0.00008269893,0.0002591965,0.6573989,0.02694841,0.02494051],"study_design_scores_gemma":[0.001770842,0.03184828,0.04993284,0.002553978,0.0004458438,0.003364088,0.1870612,0.001450475,0.004308839,0.2601448,0.4543616,0.002757216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6337493,0.002554203,0.0006774486,0.007027271,0.005437245,0.0004886416,0.0002176937,0.00001759129,0.3498306],"genre_scores_gemma":[0.9688781,0.0003185942,0.01022969,0.0005395623,0.001251749,0.00001430433,0.000006540831,0.00002242454,0.01873903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7239516,"threshold_uncertainty_score":0.9999858,"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."}}