{"id":"W3210762056","doi":"10.5281/zenodo.3820591","title":"Journey of a thousand miles: How HD basic research feeds the clinical trial pipeline","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Pipeline (software); Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.03217925,0.000990179,0.001128214,0.001833628,0.005419592,0.02057442,0.001999064,0.01000749,0.08187875],"category_scores_gemma":[0.06923196,0.001171933,0.001491608,0.001265004,0.00460688,0.01600602,0.01473624,0.02477273,0.05573888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005242692,"about_ca_system_score_gemma":0.01502544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003595584,"about_ca_topic_score_gemma":0.006272476,"domain_scores_codex":[0.9868263,0.006110143,0.0006524234,0.0008255012,0.004026185,0.001559381],"domain_scores_gemma":[0.9386337,0.01619612,0.001741962,0.003052099,0.01148764,0.02888838],"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":[0.000183486,0.00007287108,0.0004097107,0.0002717969,0.00004709706,0.0002940681,0.0007294353,0.0001933325,0.000708131,0.01354451,0.9129786,0.07056711],"study_design_scores_gemma":[0.00005321835,0.0001336793,0.0007088144,0.0004110651,0.00002481771,0.0003774544,0.0009561925,0.0001271596,0.0003673373,0.02139485,0.9753784,0.00006706035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002470407,0.02514957,0.01409482,0.8398228,0.05059956,0.0002443116,0.0008814887,0.00197035,0.06476666],"genre_scores_gemma":[0.04759028,0.05282506,0.04334388,0.6074336,0.05016226,0.0007122252,0.001838805,0.003899329,0.1921946],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08187875,"threshold_uncertainty_score":0.2739117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490956768151511,"score_gpt":0.3192801853073648,"score_spread":0.1701845084922137,"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."}}