{"id":"W4300521871","doi":"10.1111/j.1936-4490.2002.tb00673.x","title":"ACKNOWLEDGEMENTS ‐ REMERCIEMENTS","year":2002,"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":[],"category_scores_codex":[0.009383459,0.0009402824,0.001514667,0.003635168,0.002784234,0.004214385,0.003594303,0.001079533,0.3036332],"category_scores_gemma":[0.08036482,0.000478962,0.001365716,0.002375454,0.001264629,0.002610711,0.005592558,0.002835484,0.09699698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007371807,"about_ca_system_score_gemma":0.01180828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08188103,"about_ca_topic_score_gemma":0.0932289,"domain_scores_codex":[0.9838943,0.002797639,0.001289973,0.0008063785,0.00973817,0.001473499],"domain_scores_gemma":[0.8597106,0.01138722,0.002425865,0.006065348,0.1058559,0.01455506],"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":[0.0003614539,0.00009461994,0.003304892,0.0004617303,0.00004049731,0.0007431328,0.003192346,0.0004384752,0.002757545,0.01656624,0.9271829,0.04485625],"study_design_scores_gemma":[0.00006396228,0.00003848389,0.008989689,0.0003620432,0.00004567117,0.0005420124,0.004282622,0.0005083458,0.001232174,0.00440034,0.9794788,0.00005577538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03373525,0.008935573,0.01134075,0.274298,0.1367769,0.002922144,0.07598467,0.00428111,0.4517256],"genre_scores_gemma":[0.1181745,0.00280357,0.007174054,0.0144791,0.009871735,0.0009158785,0.01362983,0.00125263,0.8316987],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3036332,"threshold_uncertainty_score":0.9932827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2600727349070714,"score_gpt":0.4111847564697301,"score_spread":0.1511120215626587,"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."}}