{"id":"W2554841376","doi":"10.1016/j.cryobiol.2016.09.006","title":"Clinical trials of cell based and cell based gene enhanced therapies: The Ottawa experience","year":2016,"lang":"en","type":"article","venue":"Cryobiology","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Cell; Clinical trial; Medicine; Gene; Computational biology; Bioinformatics; Biology; Internal medicine; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01879728,0.000691271,0.001169088,0.0006396013,0.005413335,0.005429536,0.001852367,0.004638166,0.007142011],"category_scores_gemma":[0.01915542,0.0006427605,0.0009129599,0.001097133,0.009348274,0.001901733,0.00387675,0.005675441,0.000608062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03169831,"about_ca_system_score_gemma":0.07569438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4113994,"about_ca_topic_score_gemma":0.7844083,"domain_scores_codex":[0.9878036,0.00695805,0.0006169598,0.0009836151,0.001939903,0.001697858],"domain_scores_gemma":[0.9673085,0.01625756,0.002824042,0.002014155,0.004665173,0.006930521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.08334669,0.004975313,0.05811124,0.005660765,0.002249401,0.006409965,0.02020076,0.008196277,0.03072747,0.2045718,0.1510002,0.4245501],"study_design_scores_gemma":[0.01462861,0.02627435,0.1469129,0.00426986,0.002139782,0.003012269,0.01064955,0.001536745,0.01110754,0.03589025,0.7422902,0.00128803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4282144,0.1342996,0.006012359,0.2059856,0.003635871,0.002427763,0.002151622,0.000126025,0.2171468],"genre_scores_gemma":[0.8712447,0.04606678,0.01244335,0.02901706,0.0007767458,0.001120444,0.0007359681,0.0001257305,0.03846933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4113994,"threshold_uncertainty_score":0.8180096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08326709378740148,"score_gpt":0.4009467968575973,"score_spread":0.3176797030701958,"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."}}