{"id":"W2999842307","doi":"10.29173/hsi200","title":"Ghosts of Gene Therapies Past- Lessons Learned From Jesse Gelsinger","year":2019,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01209819,0.0005255711,0.001035562,0.001164572,0.003460063,0.005545863,0.000964396,0.005394925,0.00239295],"category_scores_gemma":[0.01982679,0.0003184649,0.0003885679,0.0006317659,0.02461598,0.009066875,0.003044681,0.02076663,0.001196761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00271209,"about_ca_system_score_gemma":0.004002108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258089,"about_ca_topic_score_gemma":0.002976013,"domain_scores_codex":[0.995338,0.002045148,0.0002447479,0.0005657923,0.001594954,0.0002113216],"domain_scores_gemma":[0.9797934,0.01424645,0.0006281207,0.0007926353,0.002468076,0.002071301],"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":[0.00013595,0.00009751088,0.0005308351,0.0004819068,0.00003687067,0.0007587931,0.005789992,0.000343866,0.0008194854,0.3048676,0.6111639,0.07497344],"study_design_scores_gemma":[0.00002568966,0.00005657648,0.0001806122,0.0006377152,0.00001022053,0.001258074,0.001836867,0.0001250306,0.0006104645,0.168311,0.8269095,0.00003823537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001655907,0.1373597,0.002744729,0.8299868,0.01691741,0.000007705992,0.00002871346,0.00006023361,0.01123882],"genre_scores_gemma":[0.1017003,0.2245287,0.007931145,0.5968632,0.03879992,0.00007297892,0.00004790663,0.0003015157,0.02975447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9946051,"threshold_uncertainty_score":0.06398213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093221547904091,"score_gpt":0.3924420199987885,"score_spread":0.2831198652083794,"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."}}