{"id":"W4302322982","doi":"10.1111/j.1936-4490.2003.tb00711.x","title":"ACKNOWLEDGEMENTS ‐ REMERCIEMENTS","year":2003,"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":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.01412137,0.0005097035,0.0006018728,0.001172671,0.006404298,0.001662829,0.002117959,0.0003873141,0.009564514],"category_scores_gemma":[0.01036466,0.0005425948,0.0003310527,0.005089478,0.02650943,0.003147378,0.00002745402,0.0007428597,0.0002288024],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003224985,"about_ca_system_score_gemma":0.07232588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0108845,"about_ca_topic_score_gemma":0.6721799,"domain_scores_codex":[0.9918265,0.002067771,0.001478834,0.0008108988,0.000861794,0.00295418],"domain_scores_gemma":[0.9909384,0.0005698504,0.001185096,0.0003127419,0.002050799,0.004943062],"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":[0.00004093753,0.0003738688,0.02125104,0.0002265457,0.000166228,0.001063723,0.05167588,0.0003113137,0.0002532622,0.8934699,0.0225495,0.008617769],"study_design_scores_gemma":[0.0009994962,0.01084102,0.005900061,0.001102827,0.0001810449,0.002086538,0.07605075,0.0005668374,0.002169377,0.1307566,0.7680225,0.00132291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6351874,0.004306382,0.0009207609,0.01263141,0.006564931,0.0005503751,0.0001993576,0.00001583639,0.3396235],"genre_scores_gemma":[0.9639878,0.0003557003,0.007697002,0.0005939002,0.0009713635,0.00001392728,0.000005963852,0.00002237474,0.02635196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7627134,"threshold_uncertainty_score":0.9997026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2155394529250869,"score_gpt":0.4181650753942108,"score_spread":0.2026256224691238,"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."}}