{"id":"W6980386182","doi":"","title":"Canadians taking out loans to combat cost of living, Justin Trudeau meets with German Chancellor, misinformation & regulation on podcasts and tech Tuesday with \"Gadget Guy\"","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Misinformation; Conversation; Debt; Prime minister","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":[0.0006015105,0.0005184262,0.0003037494,0.0009205035,0.01547729,0.004571909,0.0006124781,0.001788778,0.1837145],"category_scores_gemma":[0.002028389,0.0003516643,0.0002117733,0.001461435,0.001337416,0.001434135,0.001277064,0.002169201,0.03842197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02111467,"about_ca_system_score_gemma":0.04641614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9597317,"about_ca_topic_score_gemma":0.9892569,"domain_scores_codex":[0.999369,0.00003591855,0.00000817447,0.00004459571,0.0002897558,0.0002526228],"domain_scores_gemma":[0.9984072,0.00008967416,0.00003607651,0.00003176611,0.0006122153,0.0008231354],"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":[0.000003811147,0.000005194422,0.0002100156,0.00001202349,5.959453e-7,0.0000236961,0.0003031391,0.000008989642,0.00004529163,0.001017353,0.990873,0.007496854],"study_design_scores_gemma":[0.000001466872,0.000002747837,0.001398052,0.00002104595,0.000001062605,0.00001245269,0.001630649,0.00001326042,0.00005967938,0.00009787927,0.9967538,0.000007968186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005938032,0.008931423,0.0003211526,0.1462738,0.005255344,0.0001038921,0.002798737,0.0006558927,0.8297217],"genre_scores_gemma":[0.008260345,0.002384044,0.0001498561,0.005059045,0.0001149099,0.00001245023,0.0003709708,0.0001053019,0.9835432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1837145,"threshold_uncertainty_score":0.6145861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133915898334181,"score_gpt":0.2307196436803115,"score_spread":0.2193804846969697,"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."}}