{"id":"W4220959518","doi":"10.5281/zenodo.6366635","title":"Identifying science in the news: An assessment of the precision and recall of Altmetric.com news mention data","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"","keywords":"Recall; Computer science; Altmetrics; Fake news; Data science; Information retrieval; Psychology; Internet privacy; Cognitive psychology","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":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.003755596,0.00006465272,0.0001021734,0.0004096628,0.00126607,0.0004022146,0.005939522,0.00001245276,0.0001798577],"category_scores_gemma":[0.0004906478,0.0000484168,0.00002165963,0.003262474,0.0001965838,0.001061204,0.008950164,0.0002064172,0.000005133032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125708,"about_ca_system_score_gemma":0.00001247793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006594067,"about_ca_topic_score_gemma":0.000002920745,"domain_scores_codex":[0.9973969,0.0008319289,0.0002805148,0.0004268141,0.0009052172,0.0001586601],"domain_scores_gemma":[0.9979544,0.00005046422,0.0002331948,0.001507274,0.0002174316,0.00003729191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001924511,0.0005898405,0.0005461066,0.00004669916,0.00001979336,0.000004366463,0.004402928,0.0007575131,0.04791496,0.04399249,0.01050872,0.8911973],"study_design_scores_gemma":[0.001597822,0.00177294,0.0969134,0.0001550649,0.00007179075,0.0001880295,0.007215604,0.3554589,0.008403953,0.02358737,0.5039699,0.0006651837],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1058433,0.0001448288,0.8800234,0.001735666,0.0001288894,0.001087404,0.00007618016,0.000266946,0.01069346],"genre_scores_gemma":[0.9864698,0.00008165665,0.01318741,0.00005990184,0.000008912551,7.303098e-8,0.00007071944,0.00008119582,0.00004032062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8905321,"threshold_uncertainty_score":0.9994388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09913731076647833,"score_gpt":0.3735945198395886,"score_spread":0.2744572090731102,"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."}}