{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001967637,0.0001601662,0.0001869582,0.0001569526,0.0008555033,0.0003387995,0.000254576,0.0001136327,0.00004456482],"category_scores_gemma":[0.00004675669,0.0001905285,0.0001041858,0.0006672786,0.0001562599,0.0008560586,0.00001518062,0.0001629617,0.000660005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006540858,"about_ca_system_score_gemma":0.002430622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05473747,"about_ca_topic_score_gemma":0.1840589,"domain_scores_codex":[0.9983479,0.00008089459,0.0002516373,0.0001703053,0.0004548573,0.0006943975],"domain_scores_gemma":[0.9986522,0.00002725718,0.0001032575,0.0002991888,0.0003283433,0.0005897785],"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":[0.000006184527,0.00005223881,0.0000267333,0.00002940108,0.00006611943,0.00003926595,0.07435595,0.0001169525,0.001884695,0.05375808,0.5350156,0.3346488],"study_design_scores_gemma":[0.0002053048,0.00001060547,0.003947891,0.00004051764,0.00001178003,2.857391e-7,0.08519954,0.0001279708,0.0002092171,0.0004112431,0.9095759,0.0002597112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09511898,0.0001443141,0.0001086493,0.003351183,0.000668708,0.0001718475,0.0001710611,0.00009105333,0.9001742],"genre_scores_gemma":[0.6842226,0.00008746874,0.0001164911,0.3111173,0.0005414333,0.000003097882,0.000233821,0.00002359023,0.003654154],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8965201,"threshold_uncertainty_score":0.9515571,"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."}}