{"id":"W2982276576","doi":"10.1371/journal.pone.0224039","title":"Strategic science communication as planned behavior: Understanding scientists’ willingness to choose specific tactics","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Normative; Theory of planned behavior; Demographics; Strategic communication; Context (archaeology); Function (biology); Psychology; Health communication; Term (time); Behavioural sciences; Social psychology; Applied psychology; Public relations; Computer science; Political science; Sociology; Control (management)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005906691,0.0002432665,0.0001951431,0.0008813012,0.0005582527,0.002230262,0.0003498771,0.0009801016,0.001482997],"category_scores_gemma":[0.02684166,0.000244832,0.0003775809,0.0005694347,0.001469146,0.001682178,0.0005666331,0.001371263,0.0001348798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229601,"about_ca_system_score_gemma":0.002118801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00854998,"about_ca_topic_score_gemma":0.01492167,"domain_scores_codex":[0.9976941,0.001430568,0.00009349326,0.0002041271,0.0003924257,0.0001852705],"domain_scores_gemma":[0.976808,0.01367338,0.005793127,0.001126869,0.001458783,0.00113985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000152885,0.0006634559,0.854492,0.0002562203,0.0002833754,0.0001851691,0.03883977,0.003840885,0.004295377,0.02696128,0.0008030168,0.06922657],"study_design_scores_gemma":[0.0000584781,0.0006517694,0.8975974,0.0002090952,0.0001765278,0.000239808,0.02509183,0.02378437,0.001292637,0.04568116,0.005104931,0.0001118741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716843,0.0001934726,0.01352927,0.001449078,0.00001712872,0.00009404943,0.00005290195,0.00002478951,0.01295495],"genre_scores_gemma":[0.9972271,0.00008843497,0.002233398,0.000113339,0.000007239059,0.00004717593,0.00003616566,0.000002865919,0.0002442453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9977697,"threshold_uncertainty_score":0.0312379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7488970294543901,"score_gpt":0.4452061199591408,"score_spread":0.3036909094952493,"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."}}