{"id":"W3179716732","doi":"10.1108/pap-09-2020-041","title":"Editorial Preface to the special issue","year":2020,"lang":"en","type":"article","venue":"Public Administration and Policy","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Engineering ethics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003098137,0.002204645,0.001984288,0.003068195,0.00239992,0.006295045,0.002174664,0.00620689,0.1057342],"category_scores_gemma":[0.01512367,0.0007896575,0.001623024,0.001349727,0.0009472462,0.003121906,0.001330968,0.008105311,0.06143696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835074,"about_ca_system_score_gemma":0.002516992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692282,"about_ca_topic_score_gemma":0.003277391,"domain_scores_codex":[0.9979743,0.0002670035,0.0002444921,0.0003569302,0.0009735229,0.0001837303],"domain_scores_gemma":[0.9837511,0.002649556,0.0008019671,0.0005700242,0.009440016,0.002787228],"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":[0.00002503905,0.000009861436,0.0000254442,0.0000815912,0.000003669022,0.00003727851,0.000003996646,0.0000114061,0.00004716542,0.00009531867,0.9952664,0.004392726],"study_design_scores_gemma":[0.00004179505,0.00003441802,0.0004250706,0.0002214243,0.00001591198,0.0001189671,0.00003232253,0.00008100164,0.0001204821,0.0004784303,0.9984168,0.00001344859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003703448,0.0009013238,0.00007099308,0.01236432,0.9831528,0.00002931206,0.000094662,0.00004995383,0.003299689],"genre_scores_gemma":[0.0004464984,0.001801181,0.00009888716,0.009619183,0.9609653,0.00003742543,0.0001438405,0.00006562343,0.02682209],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1057342,"threshold_uncertainty_score":0.3537163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05920869655159751,"score_gpt":0.4042086621210022,"score_spread":0.3449999655694047,"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."}}