{"id":"W7067482471","doi":"","title":"Microgrid Brings Newfound Quiet and Cost Reductions to Canadian Native Community","year":2022,"lang":"en","type":"other","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"QUIET; Microgrid; Government (linguistics); Key (lock); Measure (data warehouse)","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":[0.0007913155,0.0006187453,0.0002296888,0.001226404,0.006015299,0.002965434,0.001249838,0.001062595,0.1832797],"category_scores_gemma":[0.001994526,0.0002010797,0.0005437054,0.001617982,0.0012858,0.0008697013,0.002534213,0.001117934,0.01632958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02054587,"about_ca_system_score_gemma":0.07765417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9480039,"about_ca_topic_score_gemma":0.9842876,"domain_scores_codex":[0.999286,0.00003627556,0.00001204378,0.00005180055,0.0003468714,0.0002670838],"domain_scores_gemma":[0.9962506,0.00009860241,0.00006503221,0.0001531305,0.001709436,0.001723157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001149478,0.0001132593,0.006401744,0.00008860217,0.00001416801,0.0002558374,0.0003870773,0.0003801227,0.001001186,0.008199325,0.8088428,0.1742009],"study_design_scores_gemma":[0.00002761763,0.00003003422,0.01182079,0.00006061163,0.0000107381,0.0001143554,0.001590659,0.0002847636,0.0004270304,0.001602549,0.984009,0.00002196844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03093234,0.002216585,0.004106713,0.08686713,0.003011407,0.0001828205,0.008203895,0.003153194,0.8613259],"genre_scores_gemma":[0.05715611,0.002143692,0.006352528,0.008911694,0.0004322281,0.00004911449,0.002656962,0.0006099351,0.9216877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1832797,"threshold_uncertainty_score":0.6131316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720829842805435,"score_gpt":0.2745915297480786,"score_spread":0.2573832313200243,"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."}}