{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01896313,0.0005997673,0.0008599873,0.002912599,0.01118061,0.02130258,0.002579522,0.02337072,0.02460812],"category_scores_gemma":[0.1730438,0.0006887915,0.0006243013,0.001808467,0.008117108,0.01645504,0.01214278,0.01889719,0.01206007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003000352,"about_ca_system_score_gemma":0.01946756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004140949,"about_ca_topic_score_gemma":0.006160747,"domain_scores_codex":[0.9790983,0.01036246,0.001080319,0.001062262,0.005579042,0.002817577],"domain_scores_gemma":[0.8108324,0.05605944,0.03251704,0.009896548,0.03402916,0.05666537],"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":[0.0001733171,0.0002360489,0.03724201,0.0002145069,0.00009487933,0.001304824,0.01093592,0.0001243986,0.0006141975,0.02085595,0.8405107,0.0876931],"study_design_scores_gemma":[0.00007140911,0.0001573763,0.0144223,0.0007885915,0.00008437464,0.001775099,0.04056626,0.000626076,0.001079577,0.03959662,0.9006768,0.0001554992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01367946,0.002544533,0.001217429,0.9594564,0.003385549,0.00004461043,0.00009396522,0.0002475819,0.01933046],"genre_scores_gemma":[0.3544709,0.006667389,0.005512312,0.5784704,0.01045124,0.0002001609,0.0002404496,0.0003260197,0.04366104],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9766293,"threshold_uncertainty_score":0.1002878,"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."}}