{"id":"W4226437201","doi":"10.1007/978-3-030-99587-4_14","title":"Mining for Fake News","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Manitoba","funders":"","keywords":"Fake news; Computer science; Internet privacy","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":[],"consensus_categories":[],"category_scores_codex":[0.0006980482,0.0001879907,0.0003562968,0.0001121514,0.0004120067,0.0002011569,0.0001448546,0.0004109596,0.0003332521],"category_scores_gemma":[0.0001652923,0.0001705552,0.00007968685,0.000057398,0.00006555407,0.00009854625,0.00003479556,0.0003026461,0.000001961418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110081,"about_ca_system_score_gemma":0.00009665036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005910253,"about_ca_topic_score_gemma":0.003081503,"domain_scores_codex":[0.9988053,0.00005414548,0.0003579984,0.0001997601,0.0002726202,0.0003101265],"domain_scores_gemma":[0.9989423,0.0005374346,0.0002313913,0.0001404181,0.00004056676,0.0001079137],"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":[0.00008325417,0.00001242813,0.0002134869,0.0003203729,0.0001072495,0.00001299665,0.05653891,0.1010517,5.462215e-7,0.5280431,0.02946736,0.2841486],"study_design_scores_gemma":[0.0002012093,0.0000433395,0.000006073214,0.000173996,0.00001385278,0.000003077896,0.0005730058,0.01008848,4.935824e-8,0.00160527,0.9870641,0.0002275981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001254926,0.01232748,0.03683537,0.0008577519,0.003704848,0.001681718,0.00003846682,0.00008786002,0.944341],"genre_scores_gemma":[0.7129179,0.007488266,0.0004513518,0.003603322,0.009064212,0.00009682347,0.0003597311,0.0001680063,0.2658503],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9575967,"threshold_uncertainty_score":0.6955041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911002175290464,"score_gpt":0.2890482532739977,"score_spread":0.2499382315210931,"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."}}