{"id":"W7009422528","doi":"","title":"Electrovaya Named One of Canada's Clean Technology Winners in Deloitte's Technology Fast 50TM Program","year":2023,"lang":"en","type":"other","venue":"","topic":"Sustainable Development and Policies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Clean technology; Key (lock); Identification (biology); Product (mathematics); Software","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001178262,0.0002884672,0.0004409358,0.0009560708,0.0000382354,0.000007156194,0.0005934478,0.0005965775,0.003310082],"category_scores_gemma":[0.00007447294,0.000283064,0.00003083186,0.002620745,0.0004698171,0.00002434471,0.0003360735,0.0003579045,0.00009316987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007721444,"about_ca_system_score_gemma":0.0002989687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.504285,"about_ca_topic_score_gemma":0.9688109,"domain_scores_codex":[0.9980823,0.00001618399,0.000318288,0.0004178619,0.0003173541,0.0008479606],"domain_scores_gemma":[0.9993713,0.00002017989,0.0001688687,0.0003718963,0.000009852587,0.00005787488],"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":[0.00001637473,0.0001876916,0.07308322,0.00007332629,0.0001266742,0.0001088074,0.0001524672,0.0000257578,0.0003156133,0.002832971,0.6110882,0.3119889],"study_design_scores_gemma":[0.0004297724,0.0001593766,0.006289656,0.0001078502,0.00001589832,0.000007064771,0.002832877,0.00002449087,0.00342759,0.0008993814,0.985182,0.0006239668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04402657,0.0001395736,0.00001736433,0.005502031,0.0002034189,0.001504667,0.00001354104,0.002130445,0.9464624],"genre_scores_gemma":[0.04849628,0.0001812722,0.002674971,0.0001634119,0.00003133387,0.0003003124,0.0000180194,0.0005378195,0.9475966],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4645258,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003264475743121627,"score_gpt":0.2019188655203442,"score_spread":0.1986543897772226,"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."}}