{"id":"W4379010354","doi":"10.3389/frsus.2023.1155897","title":"“Beyond being analysts of doom”: scientists on the frontlines of climate action","year":2023,"lang":"en","type":"article","venue":"Frontiers in Sustainability","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Civil disobedience; Plea; Action (physics); Variety (cybernetics); Direct action; Political science; Environmental ethics; Sociology; Engineering ethics; Public relations; Law; Politics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02457041,0.0008509256,0.0008403206,0.00285116,0.03358943,0.02102955,0.002842825,0.01207336,0.0051722],"category_scores_gemma":[0.05558729,0.000814594,0.0007780111,0.002140338,0.06936023,0.02685921,0.01713224,0.02173664,0.0009696776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007954293,"about_ca_system_score_gemma":0.008299947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005360168,"about_ca_topic_score_gemma":0.006373244,"domain_scores_codex":[0.9607115,0.03041314,0.0003791126,0.00178152,0.00254885,0.004165934],"domain_scores_gemma":[0.9564667,0.03164579,0.003637875,0.001522089,0.002706049,0.004021473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003433061,0.00002119591,0.001003411,0.00005695476,0.000007931762,0.0003381678,0.9483418,0.00004242937,0.0003710837,0.03974036,0.005763971,0.004278337],"study_design_scores_gemma":[0.00001169508,0.00002316883,0.0004032179,0.0001597439,0.000006336845,0.0001815583,0.8781984,0.00006737439,0.0002541269,0.01961096,0.1010539,0.00002951293],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3764145,0.007226046,0.01277466,0.448117,0.004372364,0.0001644616,0.00009321299,0.0001677665,0.1506699],"genre_scores_gemma":[0.9667905,0.001579968,0.001208879,0.02279547,0.0005928926,0.000129692,0.00003165064,0.0001253074,0.006745703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9664106,"threshold_uncertainty_score":0.1299424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1910670152271907,"score_gpt":0.4462270998961556,"score_spread":0.2551600846689649,"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."}}