{"id":"W2911621206","doi":"10.3389/fenvs.2019.00010","title":"Citizen Social Science for More Integrative and Effective Climate Action: A Science-Policy Perspective","year":2019,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada; University of Calgary; University of Saskatchewan","funders":"Economic and Social Research Council; Environment and Climate Change Canada; Mitacs; Regional Studies Association","keywords":"Climate change; Citizen science; Agency (philosophy); Normative; Democratization; Science policy; Action (physics); Political science; Citizen journalism; Climate change mitigation; Political economy of climate change; Participatory action research; Perspective (graphical); Politics; Public administration; Sociology; Public relations; Democracy; Social science; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002828193,0.0001474634,0.0001843388,0.0006996698,0.003237832,0.0002723091,0.0009092322,0.00006234615,0.00007267695],"category_scores_gemma":[0.00034088,0.0001408453,0.00004551863,0.002152085,0.02033288,0.001731759,0.0003970338,0.0001797833,0.00001811205],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004914763,"about_ca_system_score_gemma":0.0004739503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003739062,"about_ca_topic_score_gemma":0.00008504834,"domain_scores_codex":[0.9974563,0.00008290452,0.0001562275,0.0006924719,0.000880286,0.0007318769],"domain_scores_gemma":[0.9993195,0.00007213622,0.0001107807,0.0002277366,0.00007671478,0.0001931548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002103825,0.0002742203,0.1228901,0.0000279878,0.000008613178,9.106308e-7,0.5111355,0.00001241482,0.09966253,0.07921209,0.0001833457,0.1863819],"study_design_scores_gemma":[0.0008181749,0.0001596896,0.4015232,0.00003679034,0.000008426394,0.000002273828,0.5840207,0.001554572,0.001724129,0.005233886,0.00454607,0.0003720864],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935657,0.00008782239,0.0002457612,0.002160405,0.0007467692,0.001483486,0.00004283715,0.00003911419,0.05953681],"genre_scores_gemma":[0.9966543,0.001098335,0.00158053,0.0002267474,0.0001178685,0.0001074952,0.000003052631,0.000007779388,0.0002039067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.278633,"threshold_uncertainty_score":0.9989052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07532718792314223,"score_gpt":0.4167193803116065,"score_spread":0.3413921923884642,"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."}}