{"id":"W3202667095","doi":"10.1101/2021.09.30.462504","title":"ModelMatcher: A scientist-centric online platform to facilitate collaborations between stakeholders of rare and undiagnosed disease research","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Canada's Michael Smith Genome Sciences Centre; Children's Hospital of Eastern Ontario; University of British Columbia","funders":"Common Fund; National Institutes of Health; Genome British Columbia; Canadian Institutes of Health Research; Genome Canada; Hamill Foundation; Texas Children's Hospital; Howard Hughes Medical Institute","keywords":"Translational research; Disease; Function (biology); Bench to bedside; Data science; Knowledge management; Engineering ethics; Medicine; Computer science; Biology; Engineering; Pathology","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":[0.02021907,0.001640652,0.001270324,0.004692532,0.001975814,0.00658361,0.003832915,0.003281745,0.04366162],"category_scores_gemma":[0.04736095,0.001164707,0.001621078,0.003184807,0.001111227,0.01156915,0.01784794,0.002891215,0.01727292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379835,"about_ca_system_score_gemma":0.003915815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001822343,"about_ca_topic_score_gemma":0.002880952,"domain_scores_codex":[0.9905,0.004047819,0.0009116158,0.001882943,0.002130267,0.0005272878],"domain_scores_gemma":[0.9673981,0.01594851,0.002459165,0.008043111,0.001603247,0.004547866],"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":[0.005927769,0.001060937,0.01626803,0.002864273,0.0007947963,0.002731852,0.005084,0.01578447,0.0151548,0.09965612,0.5477392,0.2869338],"study_design_scores_gemma":[0.000902507,0.0002732654,0.00450112,0.0004660072,0.0002068332,0.0007665997,0.00124736,0.06592933,0.01137389,0.1770374,0.736951,0.0003446157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02108877,0.001324533,0.5660347,0.01065551,0.002489449,0.001868404,0.06026087,0.2958179,0.04045978],"genre_scores_gemma":[0.1578451,0.001740423,0.6596833,0.004423669,0.000958875,0.003078114,0.1091991,0.03036644,0.03270499],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04366162,"threshold_uncertainty_score":0.1460627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098350071594514,"score_gpt":0.2903400304736257,"score_spread":0.1805050233141743,"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."}}