{"id":"W3154914656","doi":"10.46747/cfp.6704227","title":"Family physicians can counter misinformation","year":2021,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internet privacy; IMG; Phenomenon; Data science; Computer science; Medicine; Computer security; Virology; Pathology; Outbreak","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004543568,0.0007156003,0.000546696,0.00186785,0.01050665,0.003916544,0.001454789,0.01140419,0.1069952],"category_scores_gemma":[0.05625318,0.0003820329,0.0007631988,0.0008419052,0.003530242,0.007143043,0.00519202,0.01057928,0.02895486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004924415,"about_ca_system_score_gemma":0.02073845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07385867,"about_ca_topic_score_gemma":0.1183583,"domain_scores_codex":[0.9962097,0.001570775,0.0001029618,0.0002130399,0.001121184,0.0007823459],"domain_scores_gemma":[0.9725025,0.005407347,0.001814788,0.001051316,0.009604705,0.009619386],"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":[0.00001285683,0.0000522431,0.001026408,0.00007902169,0.00001065702,0.0003250031,0.0009891544,0.0000220358,0.00005369363,0.00324983,0.9498697,0.04430928],"study_design_scores_gemma":[0.00003630939,0.00005186889,0.003494527,0.001329583,0.00002286617,0.0009436923,0.005569737,0.00005558243,0.0001291527,0.008900707,0.9794286,0.0000372907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001752947,0.00610683,0.0009311969,0.8900296,0.008797073,0.00007407885,0.0001777176,0.0004483327,0.09168211],"genre_scores_gemma":[0.0851663,0.02226393,0.005016518,0.7970707,0.01412543,0.0002501963,0.0003692305,0.0002733636,0.07546441],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1069952,"threshold_uncertainty_score":0.3579344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389672395520124,"score_gpt":0.2629745906491562,"score_spread":0.2390778666939549,"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."}}