{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001350716,0.00009285073,0.0001361683,0.0001835983,0.001386602,0.0005040512,0.0009171188,0.00006864806,0.001397668],"category_scores_gemma":[0.00008046747,0.0001055476,0.00002714985,0.0009297234,0.000479478,0.0004978665,0.0001704104,0.0001701341,0.001095098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007570984,"about_ca_system_score_gemma":0.0001726451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003042165,"about_ca_topic_score_gemma":0.0008088601,"domain_scores_codex":[0.9981994,0.0001544203,0.0001869582,0.0002659563,0.0008639641,0.0003293065],"domain_scores_gemma":[0.9985978,0.0001153641,0.0001033991,0.0007562819,0.0002230984,0.0002040623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001464275,0.003810783,0.05983673,0.00009466399,0.0000375839,0.000003811662,0.1139158,0.00002423315,0.2026579,0.6159581,0.0003093043,0.003204647],"study_design_scores_gemma":[0.003104202,0.001047167,0.1128969,0.002408261,0.0003112235,0.00000768376,0.7950022,0.001814345,0.01107651,0.04002793,0.02936628,0.002937392],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.886735,0.00007479429,0.00002198196,0.002352809,0.0001437808,0.0005521737,0.000008121559,0.00009635925,0.1100149],"genre_scores_gemma":[0.9951702,0.002235272,0.0009197642,0.0001717483,0.00005522275,0.00002715623,0.00003291747,0.00001187502,0.001375839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6810863,"threshold_uncertainty_score":0.9999135,"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."}}