{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.008736324,0.0005090081,0.0006021141,0.001245143,0.006471608,0.001781851,0.002603452,0.0003883234,0.02044951],"category_scores_gemma":[0.005792259,0.0005424021,0.0003389128,0.005093526,0.02814991,0.003564334,0.00004464978,0.0007698453,0.0004727453],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003099565,"about_ca_system_score_gemma":0.02264746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01274694,"about_ca_topic_score_gemma":0.6520219,"domain_scores_codex":[0.9925247,0.001319129,0.001494221,0.0008113388,0.0009123893,0.002938186],"domain_scores_gemma":[0.9912076,0.0005185474,0.001187222,0.0003166156,0.001867316,0.004902707],"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":[0.00008069175,0.001120657,0.03319464,0.0005652461,0.0004036785,0.003275109,0.1987336,0.0006485052,0.000440722,0.5283254,0.1636826,0.06952918],"study_design_scores_gemma":[0.001311895,0.01669874,0.008088463,0.001711143,0.0002485136,0.002510387,0.07138101,0.006788913,0.000996604,0.06413982,0.8243053,0.001819195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6352623,0.007072182,0.0004887992,0.0359199,0.006394476,0.0005860287,0.0002900177,0.00002192393,0.3139644],"genre_scores_gemma":[0.9503205,0.0007084189,0.004439701,0.0007325885,0.001775258,0.00001339572,0.000005751207,0.00002218062,0.0419822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6606227,"threshold_uncertainty_score":0.9997028,"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."}}