{"id":"W6912233471","doi":"10.5281/zenodo.3820590","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":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Clinical trial; Pipeline (software); Basic research; Presentation (obstetrics); Clinical research","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":[0.0407288,0.001035463,0.00134956,0.002010133,0.005411164,0.02141644,0.002088358,0.01093917,0.07973671],"category_scores_gemma":[0.08875087,0.001239726,0.001644583,0.001452028,0.004530305,0.01716836,0.01467659,0.02571801,0.05134718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005553542,"about_ca_system_score_gemma":0.01814459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004324319,"about_ca_topic_score_gemma":0.007380396,"domain_scores_codex":[0.9837918,0.007829369,0.0008665424,0.0009754002,0.004821428,0.001715432],"domain_scores_gemma":[0.9148853,0.02397637,0.002433816,0.004430234,0.01638213,0.03789212],"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":[0.0001945075,0.00006942818,0.000387777,0.0003041514,0.00005612603,0.0002774673,0.0006305128,0.0001974547,0.0005963174,0.0126297,0.9137642,0.07089234],"study_design_scores_gemma":[0.00008164164,0.0001643145,0.0008921479,0.0005981009,0.00003626441,0.0003916762,0.0009709957,0.0001750889,0.0003713038,0.02739075,0.9688364,0.00009125353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002070338,0.02444461,0.01221417,0.8559363,0.04737078,0.0002739319,0.0009967961,0.001818419,0.05487472],"genre_scores_gemma":[0.04361937,0.05596525,0.04430309,0.6254883,0.05749148,0.0008701466,0.002000867,0.003645106,0.1666163],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07973671,"threshold_uncertainty_score":0.2667459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.286916898518773,"score_gpt":0.3731905865223019,"score_spread":0.08627368800352891,"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."}}