{"id":"W6944934278","doi":"10.25318/3310071001-eng","title":"Actions taken by businesses or organizations to reduce the impact of misinformation or disinformation on operations, third quarter of 2023","year":2025,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disinformation; Misinformation; Quarter (Canadian coin); German; Work (physics); Online business","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":[0.001058418,0.001217849,0.0009867455,0.003405307,0.0006853627,0.001662186,0.002019394,0.00133413,0.03707942],"category_scores_gemma":[0.009067073,0.000635197,0.001315393,0.009700828,0.0002645363,0.001038813,0.001203674,0.001704006,0.02253576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004680167,"about_ca_system_score_gemma":0.01046434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6087545,"about_ca_topic_score_gemma":0.6647623,"domain_scores_codex":[0.9986153,0.0001282061,0.0002497739,0.0001758799,0.0005187654,0.000312093],"domain_scores_gemma":[0.9950944,0.0007225404,0.0008299355,0.0003119277,0.002635634,0.0004056255],"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":[0.00004121147,0.00001358572,0.002283741,0.0004945601,0.00002980281,0.000008534301,0.00001322098,0.0002707695,0.00001657059,0.0003298004,0.9949452,0.001553088],"study_design_scores_gemma":[0.0005749392,0.00004699958,0.09150977,0.001642203,0.0001390644,0.00007161688,0.0004609497,0.001267103,0.0003500303,0.001065102,0.9027962,0.00007607404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001439514,0.00006089914,0.00001856771,0.00009072015,0.00001937896,0.000007050925,0.9989236,0.00002748122,0.0007083809],"genre_scores_gemma":[0.001668816,0.0001990543,0.0001519514,0.0001201501,0.00001124112,0.0000744848,0.9959872,0.00002269872,0.001764348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3912455,"threshold_uncertainty_score":0.7870992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009092292257883884,"score_gpt":0.3163915761358997,"score_spread":0.3072992838780158,"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."}}