{"id":"W3015987032","doi":"10.15252/embr.202050365","title":"Academic street smarts: be vigilant of fraudsters","year":2020,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Library science; History; Media studies; Sociology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.000429525,0.00005921801,0.0001277122,0.00002918066,0.00009163425,0.00001915268,0.00009064232,0.00008334527,0.0005907209],"category_scores_gemma":[0.0007233394,0.00005390106,0.000047645,0.0001844726,0.00008247878,0.0002843618,0.00002641174,0.0001155393,0.00001457465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002204177,"about_ca_system_score_gemma":0.0001812689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002749054,"about_ca_topic_score_gemma":0.00006638659,"domain_scores_codex":[0.9988897,0.00003751305,0.000372498,0.0001012097,0.0004284066,0.0001706586],"domain_scores_gemma":[0.9992884,0.00002941939,0.0002900831,0.0001135267,0.00004921913,0.0002292986],"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":[0.00003329986,0.00004875091,0.05852508,0.000107845,0.00006171585,0.0002267463,0.4176708,0.0001164645,0.001322399,0.01243213,0.4923875,0.01706732],"study_design_scores_gemma":[0.0001602908,0.00005983412,0.01012303,0.00004306312,0.00001609809,0.00001092278,0.02548825,0.00006222222,0.002518979,0.0004495731,0.9608726,0.0001951334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7674686,0.00006123741,0.00008447799,0.008021113,0.0003286151,0.0001751468,0.000006255889,0.00008554022,0.223769],"genre_scores_gemma":[0.9961227,0.00005791854,0.00007146911,0.003035821,0.0001346258,6.322355e-7,0.000007180275,0.000004345527,0.0005652648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4684851,"threshold_uncertainty_score":0.646798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06284705532514144,"score_gpt":0.3349655922970681,"score_spread":0.2721185369719267,"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."}}