{"id":"W7006406700","doi":"","title":"Update: Nano One Approved for $5 Million Funding from Sustainable Development Technology Canada","year":2019,"lang":"en","type":"other","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Sustainability; Technology development; Technology assessment; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004198227,0.001275188,0.001287776,0.004410172,0.001957705,0.005511333,0.003168662,0.006665509,0.1509476],"category_scores_gemma":[0.01724664,0.0006710443,0.00159671,0.003567914,0.001108477,0.002313444,0.002023751,0.005586234,0.06430912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01461047,"about_ca_system_score_gemma":0.06782788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5411728,"about_ca_topic_score_gemma":0.7496254,"domain_scores_codex":[0.9957349,0.0002085807,0.0001712436,0.0001324052,0.003188198,0.0005647552],"domain_scores_gemma":[0.9770069,0.001953168,0.0006126819,0.0003387709,0.01604695,0.004041511],"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":[0.00001462775,0.000008038679,0.00003977949,0.00004542193,0.000001589073,0.0000049575,0.000002417201,0.00001600592,0.00001219776,0.0002157365,0.9922768,0.007362503],"study_design_scores_gemma":[0.00004364886,0.000009220003,0.0005508758,0.0002096864,0.000008761182,0.0000101447,0.00001386536,0.00003849318,0.00003521401,0.0003366796,0.9987363,0.000007149645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00128105,0.02935524,0.002427559,0.1564089,0.09372614,0.001112643,0.1283008,0.004501234,0.5828865],"genre_scores_gemma":[0.005157004,0.02622799,0.003796739,0.09819517,0.01115523,0.0007941562,0.0529491,0.001323687,0.800401],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4588272,"threshold_uncertainty_score":0.9230586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298490054437662,"score_gpt":0.2278502924892252,"score_spread":0.2148653919448485,"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."}}