{"id":"W3048980636","doi":"10.1111/capa.12383","title":"Multilevel governance through a strategic lens: Innovation policy delivery in Ontario","year":2020,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Construct (python library); Corporate governance; Multi-level governance; Multilevel model; Jurisdiction; Extant taxon; Political science; Business; Public administration; Process management; Knowledge management; Computer science; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.002003416,0.000168421,0.0002240046,0.001469636,0.01100038,0.006273448,0.001025573,0.001182999,0.003857692],"category_scores_gemma":[0.00528424,0.0002407767,0.0002521026,0.003329022,0.006358983,0.001474814,0.003585556,0.001065387,0.0001931623],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1822869,"about_ca_system_score_gemma":0.245216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804499,"about_ca_topic_score_gemma":0.9939926,"domain_scores_codex":[0.996455,0.0005889586,0.0001091629,0.0002950605,0.001038445,0.001513456],"domain_scores_gemma":[0.9952176,0.0009763777,0.0005848707,0.0002554668,0.001390434,0.001575305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009216578,0.0001263529,0.145914,0.0003276651,0.00006503072,0.001774304,0.07186884,0.01326538,0.002463436,0.6653221,0.02181836,0.07696241],"study_design_scores_gemma":[0.00005758649,0.0001598745,0.2652359,0.0004221409,0.00008130722,0.0003660142,0.153573,0.01577495,0.002113135,0.06714173,0.494913,0.0001613575],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7369705,0.001133871,0.008059199,0.03350095,0.00006859264,0.0002984266,0.0006331776,0.00008567541,0.2192495],"genre_scores_gemma":[0.9895372,0.0002602723,0.001213502,0.0002512751,0.000005926762,0.0000254572,0.0000586004,0.000006462648,0.008641339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8177131,"threshold_uncertainty_score":0.9484313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309154240229147,"score_gpt":0.3079550974998854,"score_spread":0.1770396734769707,"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."}}