{"id":"W7161769656","doi":"10.82308/640","title":"Climate change adaptation policy formulation among local governments: A policy instruments approach","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Public policy; Climate policy; Frontier","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":[0.01434895,0.0007855839,0.0009322322,0.002515814,0.003928484,0.01310706,0.003810293,0.007011958,0.01384726],"category_scores_gemma":[0.01876543,0.0007346163,0.0009090374,0.00390777,0.006960443,0.008818804,0.008165099,0.006332779,0.0006476763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02108718,"about_ca_system_score_gemma":0.03174315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01690161,"about_ca_topic_score_gemma":0.02382248,"domain_scores_codex":[0.987307,0.008570208,0.0004026466,0.001008215,0.001274855,0.001437058],"domain_scores_gemma":[0.989087,0.007215537,0.0008912034,0.0006019835,0.001318096,0.0008862668],"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":[0.0000295663,0.0001573027,0.001363421,0.0002099295,0.00007030283,0.0001936139,0.002081555,0.03876473,0.0002314209,0.933321,0.002879892,0.02069731],"study_design_scores_gemma":[0.00009619904,0.0001076608,0.001719278,0.0006296707,0.00008945145,0.0000680938,0.01186868,0.04220885,0.0004972258,0.8706474,0.07200935,0.00005820705],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07153846,0.004955028,0.3512578,0.2628733,0.0005968045,0.001867224,0.0004026258,0.0003494006,0.3061594],"genre_scores_gemma":[0.9155823,0.003170591,0.05210442,0.006061113,0.0003070578,0.001281722,0.00008516943,0.00006580806,0.02134188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02108718,"threshold_uncertainty_score":0.1529989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215918660585648,"score_gpt":0.2631904627117715,"score_spread":0.2415985966532067,"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."}}