{"id":"W2322715857","doi":"10.4245/sponge.v1i1.2968","title":"Expertise, Skepticism and Cynicism: Lessons from Science & Technology Studies","year":2007,"lang":"en","type":"article","venue":"Spontaneous Generations A Journal for the History and Philosophy of Science","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cynicism; Impartiality; Skepticism; Politics; Criticism; Political science; Epistemology; Confusion; Engineering ethics; Science, technology, society and environment education; Science studies; Sociology; Public relations; Social science; Psychology; Science education; Law; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02796488,0.0003741309,0.0007925252,0.004786623,0.006803094,0.01243365,0.002410439,0.007707611,0.005578978],"category_scores_gemma":[0.06852191,0.0003412711,0.0005056864,0.003857168,0.03894088,0.0198976,0.006397965,0.007874095,0.0004937544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008230974,"about_ca_system_score_gemma":0.006403081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008562859,"about_ca_topic_score_gemma":0.0118926,"domain_scores_codex":[0.9831342,0.01331476,0.0003814411,0.0006652474,0.001597062,0.0009072525],"domain_scores_gemma":[0.816175,0.1698442,0.003907572,0.002306135,0.005115232,0.002651868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006561003,0.0001176907,0.006938742,0.0005497544,0.00004168348,0.001096248,0.3486431,0.0003875068,0.0001024766,0.57577,0.01767495,0.04861226],"study_design_scores_gemma":[0.00006275073,0.00005006375,0.007954343,0.001546763,0.00002076776,0.0004451206,0.2038426,0.0009142319,0.0001639806,0.6989777,0.08597447,0.00004721155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1525535,0.05060399,0.007581042,0.6121414,0.001208819,0.00006839925,0.0000769831,0.00002842793,0.1757374],"genre_scores_gemma":[0.9567997,0.01689335,0.001334139,0.01958118,0.001298275,0.0000852358,0.00002603311,0.00003729555,0.003944813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9931969,"threshold_uncertainty_score":0.1478941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4778093651825661,"score_gpt":0.4696708424225816,"score_spread":0.008138522759984557,"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."}}