{"id":"W7097415935","doi":"","title":"Swe88] J. A. Swets, Measuring the accuracy of diagnostic systems, Science, 240(4857): 1285-","year":2000,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collaborative filtering; Recommender system; Quality (philosophy); Information filtering system; Personalization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008192965,0.001692679,0.001673076,0.01206449,0.001644296,0.003459308,0.002161424,0.003707733,0.02549861],"category_scores_gemma":[0.0536677,0.001715922,0.002294396,0.005579187,0.004495925,0.01752236,0.002497465,0.003188396,0.0186813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002364922,"about_ca_system_score_gemma":0.001615584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005294501,"about_ca_topic_score_gemma":0.00661138,"domain_scores_codex":[0.9936033,0.001511937,0.0008499179,0.001012589,0.002740318,0.0002819009],"domain_scores_gemma":[0.9592754,0.02745483,0.002656706,0.004304036,0.005727485,0.0005816526],"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":[0.0003519832,0.0001853014,0.02490427,0.002175886,0.0007416808,0.0008183963,0.001315996,0.01248979,0.004578126,0.1950526,0.2718712,0.4855148],"study_design_scores_gemma":[0.0001330685,0.0002808135,0.03119735,0.0008862518,0.0004582545,0.003567394,0.0006445663,0.03777882,0.008139299,0.6378154,0.2786936,0.0004051261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02659427,0.1539629,0.6498209,0.03953185,0.004428617,0.0005733196,0.007155695,0.003552948,0.1143796],"genre_scores_gemma":[0.3461532,0.09789265,0.4751405,0.01176391,0.00532522,0.00106606,0.006522791,0.001398587,0.05473715],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02549861,"threshold_uncertainty_score":0.08530134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311259725172041,"score_gpt":0.2520588351927895,"score_spread":0.2289462379410691,"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."}}