{"id":"W6913160670","doi":"10.5683/sp2/iie7qt","title":"Replication Data for: Multilevel Policy From the Municipal Perspective: A Pan-Canadian Survey","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multilevel model; Multi-level governance; Corporate governance; Population; Policy analysis; Replication (statistics); Survey data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003057943,0.0006583233,0.0006873647,0.0003472533,0.000391627,0.000306958,0.007947997,0.0006782374,0.00009535573],"category_scores_gemma":[0.01914712,0.0005352104,0.0001584339,0.0005134634,0.0002353699,0.0003030385,0.0009878838,0.0007155911,0.001077175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920131,"about_ca_system_score_gemma":0.003480415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997997,"about_ca_topic_score_gemma":0.9994553,"domain_scores_codex":[0.9948614,0.0008869427,0.000574004,0.002148961,0.0006021748,0.0009265759],"domain_scores_gemma":[0.9701089,0.001915941,0.0006421204,0.02632855,0.0006283748,0.0003760786],"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":[0.0001076607,0.00006134943,0.0001405293,0.00001376079,0.0003246476,0.00000259806,0.0002790076,0.000002406145,0.000002647312,0.0001928117,0.9984484,0.0004241517],"study_design_scores_gemma":[0.0005869323,0.00002696723,0.103719,0.00005345541,0.0002542361,0.000003492861,0.0002328382,0.0005821555,9.209443e-7,0.0002160695,0.893768,0.0005559911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001502187,0.0003726336,0.000009401041,0.001312185,0.0001580679,0.002466823,0.9953102,0.000067807,0.0002878289],"genre_scores_gemma":[0.0001278666,0.0002024084,0.0001301792,0.001076747,0.001509644,0.0002886561,0.9962878,0.0002436286,0.0001330288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1046805,"threshold_uncertainty_score":0.99971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1751524317937732,"score_gpt":0.4032829625905898,"score_spread":0.2281305307968166,"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."}}