{"id":"W4409852012","doi":"10.1016/j.prime.2025.101001","title":"Potential paths to Canada's climate commitments through strategic solar photovoltaic deployment","year":2025,"lang":"en","type":"article","venue":"e-Prime - Advances in Electrical Engineering Electronics and Energy","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Software deployment; Political science; Business; Environmental science; Meteorology; Geography; Computer science; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001965073,0.0002775668,0.000327471,0.00007103089,0.0001290252,0.00003761733,0.0002571263,0.00009043523,0.00002860475],"category_scores_gemma":[0.00003733576,0.0002710664,0.00004638897,0.000727992,0.00002749748,0.0001362454,0.0001753985,0.000266383,0.000001825007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778736,"about_ca_system_score_gemma":0.0001811183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1968808,"about_ca_topic_score_gemma":0.2075239,"domain_scores_codex":[0.9977482,0.00003971979,0.0003674894,0.0005307664,0.0003027712,0.001011073],"domain_scores_gemma":[0.9994729,0.00005221786,0.00004618548,0.0002694193,0.00001349098,0.0001457685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004307498,0.0008682686,0.01612884,0.0002634372,0.0001708798,0.0002665668,0.0002393406,0.6976034,0.1289276,0.02990274,0.002418354,0.1227798],"study_design_scores_gemma":[0.001157022,0.0004601082,0.006045275,0.00006690076,0.0000308751,0.00002018684,0.00006963081,0.1700978,0.02567949,0.007921233,0.7875445,0.0009069693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285268,0.02569902,0.03233993,0.0003756689,0.0009016941,0.0008046291,0.0000207209,0.0002511244,0.01108039],"genre_scores_gemma":[0.9968062,0.001831723,0.0005197702,0.0003652745,0.0000229778,0.0001081336,0.000006345471,0.00002197775,0.0003175997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7851261,"threshold_uncertainty_score":0.9999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00256196541421501,"score_gpt":0.203479494035733,"score_spread":0.200917528621518,"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."}}