{"id":"W1997891517","doi":"10.1080/1533015x.2014.962195","title":"Writing About Sustainability Science for the Media: How to Be Both True-to-Fact and Tell a Good Story","year":2014,"lang":"en","type":"article","venue":"Applied Environmental Education & Communication","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Sustainability; Documentation; Public relations; Mainstream; Science communication; Sociology; Set (abstract data type); Work (physics); Engineering ethics; Psychology; Science education; Political science; Media studies; Engineering; Pedagogy; Computer science; Law; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003178502,0.0001232286,0.000115235,0.000104992,0.002727636,0.0002271803,0.0009121001,0.00006667637,0.00008141797],"category_scores_gemma":[0.0006027838,0.0001190015,0.0000325928,0.0002836822,0.0008659627,0.0002543962,0.0003163148,0.0001738501,0.00002041112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008595661,"about_ca_system_score_gemma":0.0001861744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003578708,"about_ca_topic_score_gemma":0.001116111,"domain_scores_codex":[0.9986435,0.0002647441,0.0001834452,0.0002987061,0.000333273,0.0002762886],"domain_scores_gemma":[0.997411,0.001094158,0.0001264825,0.001097901,0.00005628524,0.0002141807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004068614,0.000387767,0.003481808,0.00002819761,0.000007856314,4.099788e-9,0.2017719,0.00004085237,0.007730575,0.07553976,0.001627458,0.7093431],"study_design_scores_gemma":[0.0002319287,0.00003950785,0.2379999,0.00001579098,0.00002463203,4.033641e-7,0.200552,0.000189983,0.0001613215,0.002089558,0.5584524,0.0002424956],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8527073,0.0003718423,0.002270042,0.1313896,0.0001839549,0.002925312,0.00002032612,0.00008452794,0.01004713],"genre_scores_gemma":[0.992068,0.001213205,0.002698268,0.002642995,0.0001123576,0.0009234584,0.00008035188,0.00001566031,0.0002457326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7091006,"threshold_uncertainty_score":0.9985707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097939749375913,"score_gpt":0.3797486360044263,"score_spread":0.269954661066835,"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."}}