{"id":"W4411325907","doi":"10.1002/pan3.70076","title":"Social media filtering of sensationalistic news on spiders—A global overview","year":2025,"lang":"en","type":"article","venue":"People and Nature","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Social media; Data science; Computer science; Biology; Media studies; Sociology; World Wide Web","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":[0.00269737,0.0006440817,0.0006787601,0.02338888,0.0003786094,0.002855427,0.0003207765,0.0004574648,0.002973217],"category_scores_gemma":[0.01147658,0.0002485932,0.0008441902,0.02104016,0.0007128718,0.002743178,0.001659231,0.0003709403,0.001207723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004378727,"about_ca_system_score_gemma":0.0004383037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003311766,"about_ca_topic_score_gemma":0.003515265,"domain_scores_codex":[0.9975953,0.0007537629,0.0003381804,0.0004325267,0.0006636205,0.0002166294],"domain_scores_gemma":[0.9603149,0.02124796,0.01122039,0.001440951,0.004609609,0.001166221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005244916,0.0002010953,0.7709672,0.008445538,0.001031767,0.001191722,0.006375294,0.001542053,0.005476676,0.001563558,0.01980879,0.1828718],"study_design_scores_gemma":[0.0000132707,0.0001557557,0.9547089,0.001002594,0.0003199254,0.001050723,0.003639781,0.002396205,0.001696009,0.0003691756,0.03458984,0.00005773452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204324,0.01821658,0.002089387,0.001391968,0.0001495071,0.0002014166,0.04264287,0.0003233942,0.01455233],"genre_scores_gemma":[0.9499775,0.01361467,0.003177631,0.0002939698,0.0006441049,0.0001153737,0.02951825,0.0001542498,0.002504181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02338888,"threshold_uncertainty_score":0.01426518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464105486425139,"score_gpt":0.3641379699768083,"score_spread":0.3294969151125569,"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."}}