{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001233739,0.00002378755,0.00004014953,0.00007146694,0.001439802,0.0004049572,0.0001944564,0.00001938888,0.0002035704],"category_scores_gemma":[0.002212118,0.00002061918,0.00001254093,0.0000766092,0.000456386,0.004192119,0.00004291829,0.00002633191,0.00005665576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002551373,"about_ca_system_score_gemma":0.0001985378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006652678,"about_ca_topic_score_gemma":0.00008121127,"domain_scores_codex":[0.9993654,0.000008128299,0.0001301252,0.00002565582,0.0003403326,0.000130369],"domain_scores_gemma":[0.9993651,0.0000190783,0.000227933,0.0001518369,0.0001853126,0.00005076241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004793822,0.000005048896,0.001576657,0.00001190582,0.000002064994,1.585344e-7,0.1888643,0.00001155662,0.0004739659,0.7220314,0.0006352451,0.08638296],"study_design_scores_gemma":[0.001076066,0.00006416079,0.2238245,0.0001753858,0.00001145347,0.00000607115,0.2670949,0.008611018,0.02023038,0.001937657,0.4764828,0.0004856983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2583446,5.488856e-7,0.0005247127,0.0004266352,0.0001167423,0.00004796285,5.014907e-7,0.00001914953,0.7405192],"genre_scores_gemma":[0.9986116,0.000003807278,0.0005916319,0.0002723762,0.00002214532,9.919599e-8,1.760479e-7,5.41739e-7,0.0004976242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.740267,"threshold_uncertainty_score":0.9998602,"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."}}