{"id":"W2170014507","doi":"10.2174/187569211798377153","title":"Editorial [Towards an Ecology of Collective Innovation: Human Variome Project (HVP), Rare Disease Consortium for Autosomal Loci (RaDiCAL) and Data-Enabled Life Sciences Alliance (DELSA)]","year":2011,"lang":"en","type":"article","venue":"Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; National Institute of General Medical Sciences; U.S. Public Health Service; Indian Institute of Technology Bombay","keywords":"Alliance; Ecology; Biology; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001825815,0.0008789415,0.001318308,0.000456765,0.0007535676,0.00004205424,0.0008439578,0.0002315525,0.0002061497],"category_scores_gemma":[0.0006446217,0.0007438952,0.0001518532,0.0005284553,0.003572478,0.0000804758,0.0005329159,0.0004918491,4.194812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007786234,"about_ca_system_score_gemma":0.002126703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001238982,"about_ca_topic_score_gemma":0.00002221692,"domain_scores_codex":[0.9949435,0.0003365064,0.001431141,0.001879608,0.0005633325,0.0008459266],"domain_scores_gemma":[0.9964911,0.0001897318,0.0009206859,0.0005117026,0.0007784936,0.001108245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03190592,0.007382913,0.03132622,0.008620451,0.004167201,0.00008828949,0.0181002,0.00003230349,0.6078399,0.009642259,0.216106,0.06478833],"study_design_scores_gemma":[0.04702442,0.004421938,0.0044465,0.0007896619,0.004472381,0.0001603463,0.003510017,0.01339676,0.001199489,0.001770789,0.9164668,0.002340932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8747406,0.1037351,0.0004388274,0.0007845139,0.00985813,0.002277181,0.008066047,0.00003803302,0.00006163429],"genre_scores_gemma":[0.7717684,0.154601,0.00154079,0.002194923,0.04856772,0.0003749695,0.02054742,0.0002198569,0.0001849531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7003607,"threshold_uncertainty_score":0.9995012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1516386832456444,"score_gpt":0.4136960555247705,"score_spread":0.2620573722791261,"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."}}