{"id":"W2593327926","doi":"10.1139/er-2016-0109","title":"Cause-effect analysis for sustainable development policy","year":2017,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Santa Barbara","keywords":"Sustainability; Context (archaeology); Interdependence; Sustainability science; Sustainable development; Management science; Policy analysis; Social sustainability; Environmental resource management; Risk analysis (engineering); Computer science; Political science; Business; Economics; Ecology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009858636,0.0002571809,0.000452233,0.000047271,0.001072235,0.0001174112,0.0006244926,0.00007088062,0.001242062],"category_scores_gemma":[0.0004431979,0.0002148149,0.0003051276,0.0001427571,0.0002850172,0.0004609045,0.0005428424,0.00008453656,0.0008155666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440563,"about_ca_system_score_gemma":0.00001441956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002230006,"about_ca_topic_score_gemma":0.0001560942,"domain_scores_codex":[0.9981821,0.00007782724,0.0003485914,0.0005215405,0.0002668639,0.0006030812],"domain_scores_gemma":[0.9984426,0.00005578266,0.0003573795,0.0009879636,7.432204e-7,0.0001555291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001107459,0.0004134702,0.8508129,0.0002692299,0.0003425544,0.00005772431,0.004109632,0.0001072713,0.001212383,0.0001917428,0.005641212,0.1367312],"study_design_scores_gemma":[0.0002674877,0.00006235005,0.3374597,0.000007745036,0.0001398018,0.000001307432,0.000381065,0.00003452045,0.0008326994,0.0001257569,0.6604648,0.000222756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879317,0.001466879,0.0004844547,0.0003914384,0.00004559708,0.001919781,0.000009288222,0.00002447764,0.007726423],"genre_scores_gemma":[0.9761642,0.001673133,0.0008221822,0.0003165142,0.00008801969,0.0008436235,0.00003557973,0.0000255718,0.02003113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6548237,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967239098273787,"score_gpt":0.3051352897114849,"score_spread":0.275462898728747,"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."}}