{"id":"W4221127616","doi":"10.1002/cjas.1669","title":"Acknowledgements – Remerciements","year":2022,"lang":"fr","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Legal and Policy Issues","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":[0.009868867,0.0009931788,0.001853799,0.003879789,0.002534918,0.004580408,0.002710552,0.001045764,0.2543411],"category_scores_gemma":[0.1153725,0.0003951717,0.00121365,0.002179843,0.001714739,0.002821443,0.005669293,0.002998059,0.0958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007014273,"about_ca_system_score_gemma":0.01737686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04530076,"about_ca_topic_score_gemma":0.05897965,"domain_scores_codex":[0.9810449,0.004140338,0.001368525,0.001256245,0.0109242,0.001265759],"domain_scores_gemma":[0.8013387,0.01730975,0.004215005,0.007882991,0.1465493,0.02270424],"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":[0.0002407336,0.00008797632,0.001782542,0.0004740611,0.00003284853,0.0007347029,0.002855258,0.0004099639,0.002988935,0.01734275,0.933997,0.03905326],"study_design_scores_gemma":[0.00007262114,0.00003704145,0.006233689,0.000623305,0.00003657417,0.0007114848,0.004707276,0.0005033058,0.0009233082,0.008624687,0.9774631,0.00006356094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02974975,0.01449936,0.02018907,0.3356523,0.2116733,0.003183875,0.09430767,0.004557121,0.2861876],"genre_scores_gemma":[0.2266733,0.00573275,0.02174465,0.02808662,0.03365328,0.001944015,0.02309052,0.003443234,0.6556317],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7456589,"threshold_uncertainty_score":0.8508556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1704305830071935,"score_gpt":0.3890709972957153,"score_spread":0.2186404142885218,"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."}}