{"id":"W2395552590","doi":"10.1089/bio.2015.0122","title":"Developing an Ethical and Legal Interoperability Assessment Process for Retrospective Studies","year":2016,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Interoperability; Harmonization; Process (computing); Computer science; Set (abstract data type); Data sharing; Data science; Engineering ethics; Management science; Knowledge management; Process management; Medicine; Business; Engineering; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6883808,0.002166011,0.002606534,0.02449625,0.01351989,0.02021778,0.008971893,0.006237105,0.002922141],"category_scores_gemma":[0.6591807,0.002760761,0.004403385,0.01079787,0.01291876,0.02686268,0.02045221,0.01336678,0.001457693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02250353,"about_ca_system_score_gemma":0.09469495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00605636,"about_ca_topic_score_gemma":0.007402577,"domain_scores_codex":[0.3310095,0.5044215,0.06743795,0.01948017,0.07272485,0.004925984],"domain_scores_gemma":[0.1706466,0.5474752,0.05244021,0.06773376,0.1578806,0.003823682],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002679626,0.0009497997,0.01517959,0.002646475,0.0003391583,0.001183972,0.1634388,0.009255089,0.004703379,0.3410073,0.007539537,0.4534891],"study_design_scores_gemma":[0.0005162717,0.001566182,0.01399179,0.01539979,0.0005183112,0.001164368,0.1221871,0.06469347,0.0280719,0.5107332,0.2398342,0.001323356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01637593,0.0004313125,0.9470958,0.007206773,0.0001855766,0.02065746,0.000207767,0.0004379718,0.00740151],"genre_scores_gemma":[0.04067526,0.0002136853,0.9464756,0.0005974802,0.00006064158,0.01107524,0.0001697229,0.00006514833,0.0006672245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9937629,"threshold_uncertainty_score":0.3842821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6324870765353644,"score_gpt":0.6380419216076402,"score_spread":0.005554845072275771,"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."}}