{"id":"W2918217012","doi":"10.3138/cjpe.33.3.v","title":"Editor’s Remarks","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Biography; Bourgeoisie; Library science; Administration (probate law); Art; Sociology; Classics; Art history; Political science; Law; Computer science; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0174654,0.00008710907,0.0001939779,0.000594865,0.0001004921,0.0003763871,0.0004689298,0.00007643017,0.01396362],"category_scores_gemma":[0.002316146,0.00006435177,0.0001213194,0.0005989142,0.0000420602,0.0006992981,0.000008622969,0.0001957316,0.0009399457],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003182229,"about_ca_system_score_gemma":0.005705179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001976711,"about_ca_topic_score_gemma":0.005671551,"domain_scores_codex":[0.9957334,0.0003893848,0.000780041,0.0001604919,0.002708953,0.0002277558],"domain_scores_gemma":[0.9950293,0.0002124901,0.0006084361,0.0003188627,0.003411264,0.0004195894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001166898,0.00002164266,0.07553242,0.000002787023,0.00001778198,0.00000247163,0.0005119273,0.001695389,0.0000516872,0.0004341326,0.08664671,0.8350714],"study_design_scores_gemma":[0.001007516,0.0006023124,0.1190575,0.00004472012,0.00004421836,0.00003478913,0.001066837,0.0444686,0.00006800765,0.009475812,0.8239847,0.0001449315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8903803,0.0007796113,0.001094057,0.007369858,0.03388205,0.002416456,0.000007655057,0.00001796128,0.06405205],"genre_scores_gemma":[0.9945535,0.000004242526,0.002310582,0.0002466002,0.00179922,0.00001825669,0.000006208584,0.00000739978,0.001053958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8349264,"threshold_uncertainty_score":0.9999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939142377051118,"score_gpt":0.5103476077944012,"score_spread":0.3164333700892895,"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."}}