{"id":"W4229032413","doi":"10.1177/00027162221084663","title":"When Science Becomes Embroiled in Conflict: Recognizing the Public’s Need for Debate while Combating Conspiracies and Misinformation","year":2022,"lang":"en","type":"article","venue":"The Annals of the American Academy of Political and Social Science","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council","keywords":"Disinformation; Misinformation; Opposition (politics); Scrutiny; Denial; Political science; Public relations; Public opinion; Scientific consensus; Democracy; Sociology; Law and economics; Law; Psychology; Social media","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"],"consensus_categories":["sts"],"category_scores_codex":[0.006068713,0.00007458257,0.0001906914,0.0001252096,0.00358952,0.0001694059,0.0009378215,0.00001925009,0.00001381083],"category_scores_gemma":[0.001865421,0.0000432153,0.00004912888,0.001114782,0.01408899,0.0007366717,0.0003935188,0.0001985496,2.982536e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004873815,"about_ca_system_score_gemma":0.0003856447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233101,"about_ca_topic_score_gemma":0.00002753601,"domain_scores_codex":[0.9979555,0.0002200734,0.0003385845,0.0001175708,0.0007984723,0.0005697738],"domain_scores_gemma":[0.9985943,0.0006460883,0.0004165565,0.00007694042,0.0001447175,0.0001213352],"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":[0.00001812695,0.00001418491,0.0006486442,0.00001092903,0.000003939641,1.266706e-8,0.08294031,0.000002661193,0.0006101418,0.9045521,0.0003871547,0.0108118],"study_design_scores_gemma":[0.0006284191,0.0002046111,0.1725574,0.00003867877,0.0000244091,0.00000717394,0.7190138,0.003097975,0.003866478,0.07450227,0.02572555,0.0003333191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327277,0.00003762771,0.00001134862,0.161145,0.00003903617,0.0002858586,0.00002271807,0.000008666611,0.005721962],"genre_scores_gemma":[0.9885533,0.00003372387,0.00005228051,0.01124264,0.00003129071,0.000006911416,2.832354e-7,0.000002281755,0.00007723396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8300498,"threshold_uncertainty_score":0.9977077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1745468544955289,"score_gpt":0.4144537599651281,"score_spread":0.2399069054695992,"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."}}