{"id":"W4385297498","doi":"10.1016/j.jacadv.2023.100435","title":"Cardiovascular Conferences and Social Media","year":2023,"lang":"lt","type":"editorial","venue":"JACC Advances","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Social media; Political science; Sociology; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00311386,0.0006576066,0.001624263,0.0002862927,0.0022957,0.0003756908,0.0008705531,0.001877015,0.0002047488],"category_scores_gemma":[0.0315809,0.0006993201,0.0005119149,0.001112517,0.002063082,0.0007481237,0.0002007592,0.001334935,0.0004466868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005234259,"about_ca_system_score_gemma":0.003577208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005204189,"about_ca_topic_score_gemma":0.005973277,"domain_scores_codex":[0.9918978,0.001260198,0.0009339268,0.001302805,0.003263009,0.001342244],"domain_scores_gemma":[0.9644925,0.03312775,0.0007514902,0.0003800519,0.000808234,0.0004399932],"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":[0.00006667687,0.00008770758,0.001402162,0.001351123,0.0005561874,0.00003087242,0.1991464,0.000003633394,0.000001022235,0.003214668,0.4066276,0.3875119],"study_design_scores_gemma":[0.0004197408,0.00005124403,0.001438547,0.0001960427,0.0003536674,3.329948e-7,0.04967149,0.000003463675,0.000002416452,0.005471404,0.9417181,0.0006735604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.003094905,0.02487937,0.00001062696,0.002493363,0.9655117,0.001457071,0.0002676959,0.000323562,0.001961652],"genre_scores_gemma":[0.007565026,0.07678694,0.0001621665,0.00003869607,0.9132927,0.001450868,0.0003539372,0.0001097365,0.0002399302],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.5350904,"threshold_uncertainty_score":0.9995458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09139523141537044,"score_gpt":0.3931899745135694,"score_spread":0.301794743098199,"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."}}