{"id":"W2472784837","doi":"10.1057/biosoc.2016.5","title":"How to fix a broken heart: Cardiac disease and the ‘multiverse’ of stem cell research in Canada","year":2016,"lang":"en","type":"article","venue":"BioSocieties","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Centre National de la Recherche Scientifique; Centre de Recherche et d’Expertise en Gérontologie Sociale","keywords":"Certainty; Action (physics); Epistemology; Cardiac cell; Simultaneity; Stem cell; Engineering ethics; Law and economics; Computer science; Sociology; Medicine; Philosophy; Engineering; Biology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005280891,0.00008413333,0.0001379814,0.00003420928,0.00006371459,0.00002076369,0.0001979513,0.00004580865,0.00000277937],"category_scores_gemma":[0.00003906152,0.00004919687,0.00005771938,0.0001156309,0.0003036872,0.000003519152,0.0003109081,0.00007044007,0.000002583971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008534499,"about_ca_system_score_gemma":0.0005962879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07613508,"about_ca_topic_score_gemma":0.04077158,"domain_scores_codex":[0.9986828,0.0002988516,0.00009771595,0.0002489739,0.0003656757,0.0003059751],"domain_scores_gemma":[0.9992868,0.0001378514,0.00002191067,0.0002964709,0.0001217993,0.0001351265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005098572,0.00002245217,0.03304091,0.000110462,0.00004003397,0.000004612175,0.0002727827,0.000003052159,0.9229919,0.00006731498,0.04133871,0.001597865],"study_design_scores_gemma":[0.002998462,0.0002298043,0.06700292,0.0001215503,0.00001601617,0.000001004431,0.007577556,0.00002181616,0.6918972,0.00006067698,0.2297211,0.0003518836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855723,0.003734028,0.000008052648,0.009876804,0.0000519698,0.0003936055,0.0001430929,0.000001756634,0.0002184061],"genre_scores_gemma":[0.9913285,0.0008536939,0.00003020321,0.0000583551,0.00004677276,0.00003801437,0.000003060592,0.000009515385,0.007631862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2310947,"threshold_uncertainty_score":0.9767318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041194321671348,"score_gpt":0.2565969083984623,"score_spread":0.2361849651817488,"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."}}