{"id":"W2594739882","doi":"10.1145/3020165.3020185","title":"Making Sense of Conflicting Science Information","year":2017,"lang":"en","type":"article","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Cognitive bias; Confirmation bias; Cognition; Framing (construction); Psychology; Quality (philosophy); Affect (linguistics); Framing effect; Information retrieval; Priming (agriculture); Social psychology; Persuasion","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.03390191,0.0009286794,0.0009629421,0.005241416,0.003089442,0.01619656,0.00168694,0.004124198,0.002802113],"category_scores_gemma":[0.1950655,0.00115219,0.0009497685,0.002627426,0.008949997,0.01833009,0.01031803,0.003670587,0.000534632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580007,"about_ca_system_score_gemma":0.001978038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007083009,"about_ca_topic_score_gemma":0.0006441916,"domain_scores_codex":[0.9632967,0.02084031,0.002180943,0.003153722,0.00951766,0.001010714],"domain_scores_gemma":[0.7903623,0.1593699,0.02319915,0.01311978,0.01116214,0.002786821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001094835,0.000235613,0.06847081,0.002105817,0.0008874235,0.00351782,0.5995622,0.002328327,0.02232785,0.09067809,0.00497666,0.2038146],"study_design_scores_gemma":[0.0002923122,0.0008750086,0.05480288,0.002174234,0.001299371,0.004087199,0.3667177,0.02148741,0.01763424,0.4443828,0.08564638,0.000600425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8685282,0.002740459,0.06354452,0.01460756,0.000457657,0.0002291009,0.0001847536,0.0002335567,0.04947424],"genre_scores_gemma":[0.9795613,0.0006087758,0.01710343,0.00122725,0.0002187365,0.00007123149,0.0001266054,0.00006128159,0.001021432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9969106,"threshold_uncertainty_score":0.1792926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120598794276306,"score_gpt":0.4587135642817345,"score_spread":0.3466536848541039,"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."}}