{"id":"W4323565490","doi":"10.3390/su15064753","title":"Systematic Review of Misinformation in Social and Online Media for the Development of an Analytical Framework for Agri-Food Sector","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Misinformation; Social media; Stakeholder; Thematic analysis; Systematic review; Public relations; Knowledge management; Conceptual framework; Data science; Business; Political science; Sociology; Computer science; Qualitative research; World Wide Web; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05129831,0.001970886,0.006250804,0.02944495,0.00180668,0.005756684,0.002901738,0.003458997,0.005519237],"category_scores_gemma":[0.1992088,0.00114948,0.008932229,0.02369977,0.002870709,0.007427497,0.004113135,0.002876709,0.0006254385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008002214,"about_ca_system_score_gemma":0.04691086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007986253,"about_ca_topic_score_gemma":0.02359429,"domain_scores_codex":[0.9331085,0.03014855,0.02075598,0.002879875,0.01229905,0.0008081443],"domain_scores_gemma":[0.7492099,0.1925278,0.02876246,0.007087246,0.02126827,0.001144276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008574663,0.00003224047,0.001527977,0.8871372,0.005602493,0.0001630205,0.001305869,0.0002781592,0.000224491,0.003892437,0.004288005,0.09546234],"study_design_scores_gemma":[0.00004697503,0.00007734031,0.002150028,0.9379097,0.01249315,0.0001645687,0.0009387042,0.0001465475,0.0002407425,0.00221773,0.04357463,0.00003984462],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0013737,0.9870012,0.003357239,0.002436109,0.0005820639,0.00252742,0.001320609,0.00002831918,0.001373333],"genre_scores_gemma":[0.03714219,0.9326239,0.01749169,0.002854225,0.0003368888,0.007663379,0.001310186,0.00003425922,0.0005432696],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05129831,"threshold_uncertainty_score":0.2712946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0729187613394036,"score_gpt":0.4126654963475771,"score_spread":0.3397467350081735,"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."}}