{"id":"W7105527297","doi":"10.25439/rmt.30352024","title":"Communicating to CALD communities about energy: Best practice engagement to connect with digitally excluded groups","year":2025,"lang":"","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Best practice; Energy (signal processing); Quarter (Canadian coin); Multiculturalism; Community engagement","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":[0.01974944,0.0004798284,0.0004559817,0.00180993,0.01278064,0.009450666,0.002422025,0.004034679,0.01874778],"category_scores_gemma":[0.02630149,0.0004815687,0.000741284,0.001270698,0.007122437,0.009367472,0.02121717,0.004552722,0.00380171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003583619,"about_ca_system_score_gemma":0.01303719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00619331,"about_ca_topic_score_gemma":0.01815829,"domain_scores_codex":[0.9850272,0.01166302,0.0003020476,0.0005920175,0.001252246,0.001163484],"domain_scores_gemma":[0.9777042,0.01184412,0.001038585,0.00151473,0.002046426,0.005851917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004057106,0.0003917739,0.004373074,0.001604111,0.00002758544,0.002615944,0.7532719,0.0001451802,0.001291736,0.01196393,0.03639779,0.1878764],"study_design_scores_gemma":[0.00002764553,0.0002112217,0.003867985,0.003795774,0.00002787285,0.001361212,0.596575,0.0002747202,0.0004947546,0.01127922,0.382035,0.00004953643],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4138939,0.009414277,0.02974414,0.1860424,0.0023629,0.00211755,0.0002318279,0.0007005218,0.3554926],"genre_scores_gemma":[0.8673766,0.01180065,0.04586825,0.02718005,0.000322833,0.002189402,0.0002106843,0.0003707901,0.04468075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01974944,"threshold_uncertainty_score":0.1044462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07456833001755965,"score_gpt":0.3199377594579333,"score_spread":0.2453694294403737,"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."}}