{"id":"W2590925472","doi":"","title":"Virginia Tech Intellectual Properties executive named delegate to international society","year":2004,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Delegate; Executive summary; Executive order; Business; Management; Political science; Public relations; Public administration; Computer science; Economics; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003040215,0.0004356007,0.0005099847,0.0004105757,0.000269753,0.000051126,0.0005806815,0.003720863,0.0002597631],"category_scores_gemma":[0.0004211622,0.0003500258,0.0003046046,0.001066169,0.0004986257,0.0001508893,0.0003676087,0.004482939,0.0007325433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003855844,"about_ca_system_score_gemma":0.0002706758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005172284,"about_ca_topic_score_gemma":0.00001416936,"domain_scores_codex":[0.9976502,0.00002197734,0.0005231086,0.000716072,0.0004402346,0.0006484152],"domain_scores_gemma":[0.9987263,0.00006543446,0.0001173805,0.0006421189,0.0002188602,0.0002299014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005690664,0.003500809,0.001043732,0.0003461475,0.005432256,0.001175857,0.0323209,0.001168795,0.5554749,0.0332215,0.2337057,0.1269188],"study_design_scores_gemma":[0.00603372,0.001674936,0.000870959,0.001904763,0.0003607489,0.001171067,0.003912915,0.0008326078,0.4521751,0.002257698,0.5274247,0.001380755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7650232,0.001579918,0.0495462,0.1540513,0.001940148,0.00232778,0.00003359709,0.003267416,0.02223042],"genre_scores_gemma":[0.9759703,0.0007500105,0.01267428,0.004373042,0.0002499774,0.0001401676,0.00003240833,0.00007966527,0.005730178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.293719,"threshold_uncertainty_score":0.9998952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085210377263059,"score_gpt":0.2406911552850504,"score_spread":0.2298390515124198,"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."}}