{"id":"W3089157339","doi":"10.1111/capa.12382","title":"Sondage auprès des fonctionnaires fédéraux : Synthèse des contributions canadiennes à la recherche","year":2020,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Government (linguistics); Public service; Administration (probate law); Data collection; Service (business); Library science; Public administration; Public relations; Political science; Computer science; Sociology; Business; Data mining; Social science; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03768686,0.001370935,0.001511487,0.02130433,0.00590549,0.01387286,0.002056455,0.001920277,0.01607092],"category_scores_gemma":[0.1122535,0.0007781698,0.001555916,0.02753385,0.008985781,0.007122709,0.005060757,0.00394516,0.001222204],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04673651,"about_ca_system_score_gemma":0.04202376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4260455,"about_ca_topic_score_gemma":0.3782236,"domain_scores_codex":[0.957116,0.02663615,0.00193639,0.002877846,0.01003033,0.001403348],"domain_scores_gemma":[0.8480818,0.1231938,0.004327401,0.003990204,0.01944318,0.000963622],"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":[0.0002726295,0.0001177532,0.01704801,0.01152445,0.0008702297,0.0008478813,0.2982596,0.001311969,0.0005000088,0.4252003,0.05077344,0.1932737],"study_design_scores_gemma":[0.00005718658,0.00006767186,0.0265597,0.03870329,0.0006575501,0.0004731918,0.1733662,0.0007896179,0.0009007749,0.01856516,0.7397383,0.0001212882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1237273,0.4531294,0.02140421,0.06524074,0.007209365,0.0006689116,0.007768807,0.0002304487,0.3206208],"genre_scores_gemma":[0.7461429,0.1973423,0.01873443,0.005732295,0.00198264,0.001167713,0.002094515,0.0003251288,0.02647802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9532635,"threshold_uncertainty_score":0.8471313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3999466893149506,"score_gpt":0.4393484609679181,"score_spread":0.03940177165296754,"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."}}