{"id":"W4280505042","doi":"10.3389/frma.2022.881250","title":"Research Products Beyond the Research Paper: Reflections on User-Centered Evidence Synthesis From SeroTracker","year":2022,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"Canadian Medical Association; Public Health Agency of Canada; World Health Organization","keywords":"Front (military); Sociology; Political science; Public relations; Media studies; Social science; Geography","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":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02283406,0.0001894701,0.0002998677,0.002859069,0.001745048,0.0003364573,0.001365651,0.0001612494,0.00006182617],"category_scores_gemma":[0.01289514,0.0001588863,0.0001069253,0.009588649,0.0008733912,0.00002668607,0.001837565,0.002645682,0.000007997525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004383115,"about_ca_system_score_gemma":0.0004031222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009803574,"about_ca_topic_score_gemma":0.0002785996,"domain_scores_codex":[0.9898727,0.004754119,0.0004203516,0.001124619,0.002788198,0.00104002],"domain_scores_gemma":[0.9950591,0.001729562,0.00006867136,0.001559472,0.001404172,0.0001790312],"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":[0.0005816754,0.0008190701,0.02126848,0.00005222521,0.0003425749,0.00009868001,0.000403928,0.0001963539,0.07671949,0.0006871306,0.881313,0.01751735],"study_design_scores_gemma":[0.0005864442,0.001981182,0.005948421,0.0001276033,0.00009046048,0.00001059401,0.01414899,0.00344749,0.155388,0.009353607,0.8082978,0.0006194277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984079,0.0439254,0.002640196,0.03399493,0.0005356366,0.003932185,0.000233957,0.00008197413,0.01624779],"genre_scores_gemma":[0.9740971,0.01738298,0.002993869,0.0001946337,0.0002840015,0.0004456584,0.00005721179,0.00005071574,0.004493786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07866846,"threshold_uncertainty_score":0.9996552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2355502055460132,"score_gpt":0.4708973289550241,"score_spread":0.2353471234090109,"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."}}