{"id":"W6963899778","doi":"10.25384/sage.14695754.v2","title":"Supplemental Material, sj-pdf-1-tpa-10.1177_01447394211019458 - Training for policy capacity: A practitioner’s reflection on an in-house intervention for civil servants, students, and post-secondary graduates in Canada","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reflection (computer programming); Intervention (counseling); Training (meteorology); Public policy; Administration (probate law)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002372698,0.000541486,0.00066603,0.00178147,0.005545695,0.005481871,0.00254526,0.002898149,0.8008217],"category_scores_gemma":[0.01670134,0.0005821546,0.0004231244,0.003243972,0.00113609,0.001495395,0.002054997,0.002147952,0.3464229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01879387,"about_ca_system_score_gemma":0.05314994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7825699,"about_ca_topic_score_gemma":0.9148021,"domain_scores_codex":[0.9979901,0.0001612558,0.00005783264,0.0001037013,0.001263917,0.0004231738],"domain_scores_gemma":[0.9801192,0.004193975,0.0002787199,0.0006156386,0.01037329,0.004419156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006476319,0.00003514949,0.00008816866,0.00002209467,4.450559e-7,0.0000166337,0.00007633134,0.00002625062,0.00003274656,0.0002285129,0.9930879,0.00637922],"study_design_scores_gemma":[0.00005003,0.00002376107,0.003421241,0.0001742256,0.000003450214,0.00003494789,0.0008719037,0.000121211,0.0001390944,0.0005586243,0.9945757,0.00002574445],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001941067,0.000433425,0.001661382,0.02574199,0.004470162,0.00111647,0.1033923,0.005869101,0.855374],"genre_scores_gemma":[0.01019582,0.0007080843,0.004152149,0.006770184,0.0004498221,0.0005223245,0.02102494,0.002273874,0.9539027],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8008217,"threshold_uncertainty_score":0.4374211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.158502915649724,"score_gpt":0.4237178770175171,"score_spread":0.2652149613677932,"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."}}