{"id":"W2789365372","doi":"10.1080/17524032.2018.1436082","title":"Environmental Communication and Science Communication—Conversations, Connections and Collaborations","year":2018,"lang":"en","type":"article","venue":"Environmental Communication","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Happening; Interpretation (philosophy); Science communication; Proposition; Authoritarianism; Political science; Public relations; Environmental ethics; Sociology; Epistemology; Social science; Law; Science education; History; Politics; Democracy; Computer science","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","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.00161435,0.0001818276,0.0001588219,0.0002234927,0.007686708,0.000347857,0.0009053954,0.0001347538,0.001199669],"category_scores_gemma":[0.0001620232,0.0002216124,0.00003177324,0.0004283765,0.008269992,0.001342355,0.0008272532,0.0002876005,0.0001762555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005504067,"about_ca_system_score_gemma":0.00008599816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008143162,"about_ca_topic_score_gemma":0.003330253,"domain_scores_codex":[0.9977243,0.0008596943,0.0003779482,0.0003354123,0.0004127224,0.0002899272],"domain_scores_gemma":[0.9973688,0.0004007217,0.0002451581,0.001707297,0.00005827992,0.0002197553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001334078,0.001592832,0.115707,0.00003105622,0.00012762,4.714176e-7,0.3964905,0.00001292845,0.05307908,0.2944894,0.004194124,0.1341415],"study_design_scores_gemma":[0.001520108,0.0001751635,0.3947738,0.0001100655,0.0001178341,0.00002001482,0.1868152,0.001893584,0.0009173881,0.007483288,0.4052816,0.0008919619],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373597,0.004717565,0.0001760127,0.01514027,0.00009006223,0.0009755737,0.0001109431,0.0001931424,0.04123671],"genre_scores_gemma":[0.9309838,0.06388829,0.00368973,0.0004451094,0.00004197358,0.0001060535,0.0003492641,0.00002082065,0.0004749624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4010875,"threshold_uncertainty_score":0.9997134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1661226486954459,"score_gpt":0.3748232977532995,"score_spread":0.2087006490578536,"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."}}