{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007055352,0.0005653972,0.0004795806,0.001810279,0.01054088,0.009883658,0.00196626,0.004571501,0.02119191],"category_scores_gemma":[0.01041304,0.0006093302,0.0007549162,0.001650066,0.007948007,0.002219526,0.004654069,0.004582479,0.002957738],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.133816,"about_ca_system_score_gemma":0.4890254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9790111,"about_ca_topic_score_gemma":0.9875657,"domain_scores_codex":[0.9861729,0.000929622,0.0002290035,0.0007219574,0.009815161,0.002131465],"domain_scores_gemma":[0.9787491,0.001848231,0.000504203,0.0006917502,0.009823623,0.008383124],"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":[0.000206559,0.0001418266,0.00598069,0.0002884462,0.00003356555,0.000967544,0.001773496,0.001389037,0.003424607,0.2721413,0.6125618,0.1010913],"study_design_scores_gemma":[0.00002710247,0.00002856943,0.002975689,0.00009166321,0.000008916595,0.0001002352,0.0005533875,0.0007127636,0.0008928973,0.004526118,0.9900398,0.00004277913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02843774,0.01268879,0.01678604,0.4416752,0.007144252,0.0009767489,0.004324707,0.001622698,0.4863439],"genre_scores_gemma":[0.2005415,0.01251386,0.03251544,0.07752133,0.0009057769,0.0004167664,0.002502252,0.0006247003,0.6724584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.866184,"threshold_uncertainty_score":0.9709075,"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."}}