{"id":"W7017823470","doi":"","title":"Canada's power chip maker GaN Systems raises $150 million, pushes on electric car market","year":2021,"lang":"en","type":"other","venue":"","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Power (physics); Chip; Electric power; System on a chip","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00008707443,0.0003689508,0.0006569533,0.0003747325,0.00005453833,0.00001160741,0.0001369324,0.005326257,0.01855388],"category_scores_gemma":[0.00006965046,0.0002608797,0.0001121465,0.0004095784,0.00005717108,0.000004463434,0.00002290313,0.00261926,0.00005299322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001193436,"about_ca_system_score_gemma":0.0008811798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2269644,"about_ca_topic_score_gemma":0.1302392,"domain_scores_codex":[0.9984976,0.00006051375,0.0002583155,0.0004759035,0.0003061663,0.0004014779],"domain_scores_gemma":[0.9990214,0.00005358986,0.0001154709,0.0006233208,0.00005058204,0.0001355976],"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":[0.00004066619,0.0000511522,0.0001496474,0.0002163661,0.000578255,0.0008038218,0.000003735224,3.177825e-7,0.0001613032,0.001046947,0.996763,0.0001847713],"study_design_scores_gemma":[0.0004840198,0.0001288306,0.000665376,0.001029424,0.0001616649,0.0003709304,0.00005484956,0.00001040388,0.0008281188,0.00000254901,0.9959639,0.0002999099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009912786,0.02626151,0.00001681551,0.0103478,0.001668988,0.0004737839,0.00002222921,0.000249989,0.9608598],"genre_scores_gemma":[0.0224155,0.00392518,0.00002494649,0.003241709,0.0002774385,0.00001972092,0.00008178487,0.0002509197,0.9697628],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09672525,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005529111305356725,"score_gpt":0.2047679827131978,"score_spread":0.1992388714078411,"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."}}