{"id":"W2901252328","doi":"10.1093/jlb/lsy025","title":"The stem cell market and policy options: a call for clarity","year":2018,"lang":"en","type":"article","venue":"Journal of Law and the Biosciences","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia; Simon Fraser University; Ottawa Hospital; University of Ottawa; NeuroDevNet; McGill University; University of Regina","funders":"Health Canada; Ontario Institute for Regenerative Medicine; University of Toronto; Multiple Sclerosis Society; Multiple Sclerosis Society of Canada; Canadian Institutes of Health Research; Canadian Medical Association; Stem Cell Network","keywords":"CLARITY; Context (archaeology); Psychological intervention; Regenerative medicine; Enthusiasm; Stem cell; Risk analysis (engineering); Medicine; Business; Engineering ethics; Psychology; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.05996558,0.001259048,0.003576586,0.003322257,0.009746463,0.02854231,0.006493847,0.06873282,0.01163512],"category_scores_gemma":[0.08942027,0.00120006,0.001924395,0.002986378,0.04958141,0.0641202,0.009827294,0.07034376,0.002425252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01685461,"about_ca_system_score_gemma":0.03047796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00753147,"about_ca_topic_score_gemma":0.009298233,"domain_scores_codex":[0.9706385,0.01397866,0.001657399,0.002780476,0.00828886,0.002656183],"domain_scores_gemma":[0.8810501,0.09901054,0.003602779,0.00227221,0.00838214,0.005682223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003948169,0.00006062817,0.0001711386,0.0002649021,0.00001372222,0.0002442237,0.001236459,0.0005745987,0.0001352276,0.8858392,0.095363,0.01605745],"study_design_scores_gemma":[0.00003120836,0.00002752587,0.0002193321,0.001646364,0.00001146485,0.0001609618,0.002889953,0.0008285514,0.00007496392,0.7575304,0.236514,0.00006533757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0004572586,0.01141147,0.001378759,0.980138,0.002707752,0.00000842265,0.00002872148,0.00001342183,0.003856174],"genre_scores_gemma":[0.0685757,0.03185965,0.008644763,0.859824,0.0253819,0.0001950327,0.00009761886,0.00008752468,0.005333791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06873282,"threshold_uncertainty_score":0.3171321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671784224516749,"score_gpt":0.3251632645398616,"score_spread":0.2984454222946941,"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."}}