{"id":"W2943743204","doi":"10.3389/fmed.2019.00087","title":"When Parallel Roads Meet: Orchestrating Collaborations Between Regulatory, Ethical, and Business Partners in Translational Medicine","year":2019,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Eurostars; Hospital for Sick Children; Action Medical Research","keywords":"Translational medicine; Translational research; Business; Engineering ethics; Engineering; Genetics; Biology; Biotechnology","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":[0.04810582,0.0009508877,0.0007441392,0.002941783,0.01136659,0.0262298,0.002956737,0.005829881,0.02131299],"category_scores_gemma":[0.08298882,0.001086619,0.0009749598,0.002215287,0.006170225,0.02011362,0.03146587,0.006262773,0.008573768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004149419,"about_ca_system_score_gemma":0.01941315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785865,"about_ca_topic_score_gemma":0.004566144,"domain_scores_codex":[0.9495554,0.03770125,0.001535814,0.003270627,0.003809349,0.00412746],"domain_scores_gemma":[0.9338042,0.03031114,0.006840658,0.004462646,0.005905342,0.01867608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001040868,0.0008508257,0.03736548,0.001631972,0.000374401,0.004578247,0.1030178,0.007039403,0.007921138,0.2164156,0.1829218,0.4368426],"study_design_scores_gemma":[0.0001542729,0.0003489485,0.008785385,0.001255802,0.0001816487,0.0007693507,0.1026368,0.01283835,0.003125005,0.399614,0.4700753,0.0002152122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.173706,0.008728174,0.3073778,0.244632,0.004987597,0.002364665,0.001077125,0.005570645,0.251556],"genre_scores_gemma":[0.7977749,0.002741272,0.1661926,0.01020072,0.0009322214,0.001350982,0.0009186969,0.001169754,0.01871886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04810582,"threshold_uncertainty_score":0.2544109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006846814988448,"score_gpt":0.3324847962947488,"score_spread":0.2924163281448643,"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."}}