{"id":"W7056125956","doi":"","title":"Ep. 264 - Quebec's Fake News Problem","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fake news; Work (physics); False accusation; Misinformation; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031855,0.0008252159,0.000426441,0.001871304,0.009969822,0.007184214,0.001316296,0.008201052,0.218968],"category_scores_gemma":[0.005342787,0.0004552052,0.0004455432,0.001753305,0.002665835,0.002640377,0.001255591,0.004620687,0.05385211],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01841729,"about_ca_system_score_gemma":0.01273072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7681444,"about_ca_topic_score_gemma":0.8776449,"domain_scores_codex":[0.9987479,0.00009916598,0.00004064721,0.0001215378,0.0007285633,0.0002621511],"domain_scores_gemma":[0.9972013,0.0006022668,0.0001198107,0.0001950791,0.001592336,0.0002891406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009013947,0.000006815917,0.0001807046,0.00003786966,0.000002177399,0.0001497493,0.00009128681,0.00002800566,0.0001007062,0.01084929,0.9736346,0.01490976],"study_design_scores_gemma":[0.000005705919,0.00000579437,0.001559233,0.000119355,0.000003514068,0.0001841181,0.0002765759,0.00008894697,0.0001380041,0.001406322,0.9962007,0.00001155804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001658264,0.01182932,0.0004861355,0.06703699,0.006627935,0.00007746346,0.001882254,0.0003011986,0.9101005],"genre_scores_gemma":[0.00854158,0.002874447,0.0001827223,0.0127741,0.0008146881,0.00002853456,0.0003285024,0.00009789529,0.9743575],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9815827,"threshold_uncertainty_score":0.7325211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006723275556040459,"score_gpt":0.1787314547876676,"score_spread":0.1720081792316271,"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."}}