{"id":"W2898497412","doi":"10.3390/su10113871","title":"Explaining the Diffusion of Renewable Electricity Technologies in Canadian Remote Indigenous Communities through the Technological Innovation System Approach","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Resources Canada; Energy Council of Canada; University of Waterloo","keywords":"Indigenous; Software deployment; Context (archaeology); Renewable energy; Electricity; Business; Innovation diffusion; Transformational leadership; Environmental economics; Intervention (counseling); Natural resource economics; Environmental resource management; Industrial organization; Economic growth; Economics; Marketing; Political science; Engineering; Geography; Public relations; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612046,0.0003349063,0.0002269884,0.002589636,0.003211671,0.00252645,0.0007161949,0.0006112718,0.002216819],"category_scores_gemma":[0.00559329,0.0001411725,0.0004197748,0.002318935,0.002781969,0.00152006,0.002176917,0.0007514821,0.00008414115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02991441,"about_ca_system_score_gemma":0.02503312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9262264,"about_ca_topic_score_gemma":0.9177881,"domain_scores_codex":[0.9991704,0.0002077215,0.00003190642,0.00008165901,0.0001898312,0.0003184618],"domain_scores_gemma":[0.9980168,0.0009013737,0.0004401147,0.00007916796,0.0003711146,0.0001914054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009321951,0.0001598458,0.5468895,0.0003245881,0.000124949,0.002122118,0.07545646,0.04213183,0.00246485,0.2479847,0.001560854,0.0806871],"study_design_scores_gemma":[0.00005294311,0.0001353393,0.6073231,0.0004270103,0.0001970051,0.000528147,0.1338703,0.1409173,0.001635727,0.06863663,0.04612391,0.0001526681],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588393,0.0004466125,0.003866038,0.00149005,0.000008720864,0.00009245977,0.0001655481,0.00001382492,0.03507751],"genre_scores_gemma":[0.9982197,0.0001823229,0.0008536286,0.00001552771,0.000001679935,0.00001184117,0.00003050407,0.000002133861,0.0006826866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07377356,"threshold_uncertainty_score":0.2170452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279848723064195,"score_gpt":0.2466105511698592,"score_spread":0.2238120639392173,"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."}}