{"id":"W4385534207","doi":"10.1515/9780773568914-002","title":"Summary","year":2000,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003105361,0.00029684,0.0003290225,0.0002925502,0.001408437,0.000112313,0.0008870068,0.0006404362,0.001149288],"category_scores_gemma":[0.00003268383,0.0003607695,0.0002403602,0.00002427407,0.0007507131,0.0002247622,0.0002308917,0.0006558546,0.0001055525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458867,"about_ca_system_score_gemma":0.000556301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008680371,"about_ca_topic_score_gemma":0.00002277621,"domain_scores_codex":[0.9977199,0.000187817,0.0002012277,0.0005002394,0.0008034748,0.0005872813],"domain_scores_gemma":[0.9986053,0.0001651766,0.0001496804,0.0004331207,0.0001560434,0.0004907264],"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":[0.00005174212,0.0000134664,5.708209e-7,0.00001526448,0.00006784526,0.0001743205,0.0002240348,8.339926e-7,6.061114e-7,0.9697163,0.02610221,0.003632795],"study_design_scores_gemma":[0.0002627235,0.00003640835,0.000002892273,0.00006937791,0.00004391155,6.29369e-7,0.0001064767,0.000001105302,0.00002080795,0.005465326,0.9936182,0.0003721355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000214243,0.000001532668,0.00000353178,0.001241211,0.0001186948,0.0003859051,0.0006935822,0.0002279397,0.9973255],"genre_scores_gemma":[0.0009411841,0.00065971,0.00003524772,0.0002890068,0.0002883223,0.000001196281,0.00005380996,0.00003241096,0.9976991],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.967516,"threshold_uncertainty_score":0.9998916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873828483135407,"score_gpt":0.284690090967109,"score_spread":0.2459518061357549,"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."}}