{"id":"W2098117165","doi":"10.1089/scd.2014.0354","title":"CellCAN: A Unique Enabler of Regenerative Medicine and Cell Therapy in Canada","year":2014,"lang":"en","type":"article","venue":"Stem Cells and Development","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Stem Cell Network; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Regenerative medicine; Clinical trial; Enabling; Cell therapy; Transplantation; Corporation; Engineering ethics; Business; Biology; Stem cell; Bioinformatics; Medicine; Engineering; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003011264,0.00008701203,0.0002250921,0.00005322793,0.00002911658,0.000002217316,0.00002057756,0.00006566299,0.00003078421],"category_scores_gemma":[0.000001651777,0.00005525906,0.00000564775,0.0000786041,0.0001279715,0.00001015281,0.00001848383,0.00009294949,2.384687e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006635937,"about_ca_system_score_gemma":0.0007389039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0824341,"about_ca_topic_score_gemma":0.1015847,"domain_scores_codex":[0.9992665,0.00003630675,0.0002399384,0.0001468602,0.0001995107,0.0001108789],"domain_scores_gemma":[0.999646,0.00005682802,0.00006013787,0.0000686161,0.00005451967,0.0001139005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004337,0.0002540501,0.02307116,0.002211893,0.0001296873,0.00005411981,0.02846063,0.00003136759,0.2949157,0.004064257,0.007398823,0.6389746],"study_design_scores_gemma":[0.005963137,0.000610636,0.05106459,0.0006886292,0.00001526555,0.00001139698,0.002657665,0.0009909879,0.7000299,0.0003856928,0.2372642,0.0003178933],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900758,0.001952826,0.000394368,0.003975226,0.0001266123,0.0002851863,0.000001415333,0.000004585362,0.003184012],"genre_scores_gemma":[0.9964021,0.0009975786,0.0009610404,0.0007797827,0.00002530971,0.000005304083,0.000005135025,0.000006046,0.0008176521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6386567,"threshold_uncertainty_score":0.9236761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230909865998186,"score_gpt":0.227436490701147,"score_spread":0.2051273920411652,"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."}}