{"id":"W3098834999","doi":"10.1371/journal.pone.0241972","title":"Using interpersonal communication strategies to encourage science conversations on social media","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Dalhousie University","keywords":"Social media; Interpersonal communication; Science communication; Conversation; Psychology; Public relations; Internet privacy; Sociology; Social psychology; Science education; Political science; World Wide Web; Computer science; Communication; Pedagogy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004069295,0.00005840543,0.00009207283,0.0000774498,0.00118483,0.0001973831,0.0005049228,0.00004134155,0.001023433],"category_scores_gemma":[0.000472327,0.00006669279,0.00002387174,0.0005249691,0.0004740775,0.0003652138,0.0001057137,0.0001354577,0.0001794952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001630958,"about_ca_system_score_gemma":0.0002030503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002721712,"about_ca_topic_score_gemma":0.001427602,"domain_scores_codex":[0.9989306,0.0001553478,0.0001171665,0.0001363724,0.0005008017,0.0001597136],"domain_scores_gemma":[0.9992917,0.0001600092,0.0000560651,0.0001588926,0.0001926953,0.0001406661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002974976,0.0003561175,0.0004473108,0.00001625662,0.00001775333,4.341993e-7,0.8763693,0.00001380492,0.06998547,0.05003697,0.0003551533,0.002371656],"study_design_scores_gemma":[0.0006631226,0.0001325794,0.02101491,0.0003154601,0.000107588,3.572756e-7,0.9615615,0.006086457,0.002534004,0.002105154,0.004847722,0.0006311483],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9036342,0.00002584359,0.0001798898,0.03892561,0.00004389338,0.0002397227,0.00002995682,0.0001166818,0.05680418],"genre_scores_gemma":[0.9960515,0.0001903067,0.00213892,0.00138267,0.0001807913,0.00001073302,0.0000206722,0.000005871208,0.00001852611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09241729,"threshold_uncertainty_score":0.9998898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8270407838864258,"score_gpt":0.476700865567515,"score_spread":0.3503399183189108,"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."}}