{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006456984,0.00004763514,0.00008449454,0.00002773318,0.00005468455,0.000007180402,0.00004955964,0.0001063649,0.0002249326],"category_scores_gemma":[0.00006876899,0.00004012198,0.0000220112,0.000197076,0.00002018078,0.00002295786,0.00001170923,0.0001001583,0.00001222485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001019929,"about_ca_system_score_gemma":0.0000264762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001174722,"about_ca_topic_score_gemma":0.0004908597,"domain_scores_codex":[0.9996309,0.00002343714,0.0000766419,0.0001171443,0.00007494762,0.00007694318],"domain_scores_gemma":[0.9997383,0.0001437356,0.00003257761,0.00004698102,0.00002104977,0.00001738348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000126472,0.0000911988,0.08105135,0.00008337285,0.00003676326,0.000002861993,0.00472309,0.000001154399,0.0002035588,0.7757498,0.1161413,0.02178899],"study_design_scores_gemma":[0.0001214236,0.00001478487,0.9831743,0.00002097289,0.0000140497,0.000003587787,0.0006590899,0.00000797036,0.00001922551,0.008410205,0.007507772,0.00004663449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665309,0.001824372,0.00004322018,0.004618939,0.001166831,0.00006415488,0.00008312769,0.00001356046,0.02565494],"genre_scores_gemma":[0.998663,0.00003817963,0.00004056857,0.0007376333,0.0001584861,0.000002254448,0.0000272774,0.000001068328,0.0003315477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9021229,"threshold_uncertainty_score":0.2462854,"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."}}