{"id":"W7038260807","doi":"","title":"HPQ Silicon Inc and Quebec Silica Resources Corp Sign Memorandum of Understanding","year":2022,"lang":"en","type":"other","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sign (mathematics); Memorandum; Memorandum of understanding; Silicon valley; Work (physics)","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":[0.006026223,0.001125454,0.001188518,0.001757944,0.009439218,0.01221039,0.00365944,0.0106282,0.2511007],"category_scores_gemma":[0.01809099,0.0008769338,0.0009257182,0.0008354254,0.002670377,0.002880659,0.002539769,0.00992155,0.14962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01524267,"about_ca_system_score_gemma":0.0444647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4094134,"about_ca_topic_score_gemma":0.6196773,"domain_scores_codex":[0.9931792,0.0002572325,0.000198709,0.0005170526,0.004611542,0.001236283],"domain_scores_gemma":[0.9826247,0.001832947,0.0003749029,0.001315678,0.01229712,0.001554573],"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":[0.00001444008,0.00001407824,0.00008322397,0.000009197267,0.000001580158,0.00003536186,0.00003715626,0.0000246491,0.000117902,0.004622748,0.9902604,0.004779279],"study_design_scores_gemma":[0.00001214401,0.000010638,0.0003954282,0.00003603755,0.000003877888,0.00001752768,0.00009532101,0.0002328157,0.0003256857,0.0008288503,0.9980302,0.00001138621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001989862,0.000525718,0.002105376,0.1116721,0.01959547,0.0006729945,0.004945643,0.001753459,0.8567394],"genre_scores_gemma":[0.001851386,0.00005940699,0.0003801217,0.006481368,0.0004027588,0.00005960595,0.0003823372,0.0002035866,0.9901794],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4094134,"threshold_uncertainty_score":0.8400154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1604398592302122,"score_gpt":0.343062031378857,"score_spread":0.1826221721486448,"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."}}