{"id":"W4388579929","doi":"10.15291/pubmet.3942","title":"Media visibility as a driver of scientific and social impact","year":2022,"lang":"en","type":"article","venue":"PUBMET","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Popularity; Social media; Transparency (behavior); Science communication; Public relations; Misinformation; Visibility; Public trust; Context (archaeology); Legitimacy; Digital media; Public awareness of science; Political science; Public engagement; Sociology; Internet privacy; Psychology; Science education; Social psychology; Politics; Computer science; Law","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01155944,0.000546546,0.0005573988,0.005137759,0.003315789,0.01846268,0.0009794598,0.002523352,0.01319156],"category_scores_gemma":[0.06451039,0.0004792703,0.000757972,0.004997794,0.006222551,0.01185246,0.007431003,0.003742867,0.001596249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003199926,"about_ca_system_score_gemma":0.003260967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00511127,"about_ca_topic_score_gemma":0.003058401,"domain_scores_codex":[0.9877209,0.004964093,0.0004242727,0.0009680736,0.004518716,0.001403914],"domain_scores_gemma":[0.8844744,0.08083232,0.01146875,0.004127715,0.01375977,0.005337001],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007315376,0.00070144,0.2891864,0.002136928,0.0005568801,0.001740079,0.07582374,0.002436561,0.006193481,0.3659088,0.03730581,0.2172784],"study_design_scores_gemma":[0.0001511591,0.0006564119,0.2778683,0.002199563,0.0005800289,0.0008627319,0.07162101,0.005543314,0.009213323,0.2100084,0.4209409,0.0003549689],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4915087,0.007683065,0.008389174,0.07974274,0.001597641,0.0004008184,0.001734931,0.0003591297,0.4085837],"genre_scores_gemma":[0.9854661,0.003406793,0.0009694852,0.001665151,0.0008961657,0.0000965648,0.0002856755,0.0001159463,0.00709813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9948623,"threshold_uncertainty_score":0.06113291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364634542263365,"score_gpt":0.3480697362204391,"score_spread":0.3116062819941026,"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."}}