{"id":"W7071358198","doi":"","title":"Solar Energy Market in Canada to Grow by USD 2.25 Billion from 2025-2029, Government Support for Solar Technology Boosting Growth, AI's Impact on Transformation - Technavio","year":2025,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Boosting (machine learning); Solar energy; Government (linguistics); Photovoltaic system; Renewable energy; Market penetration","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":[0.0005668849,0.0004401714,0.0002187639,0.0008743944,0.004372988,0.003432483,0.0006764064,0.001459984,0.05238261],"category_scores_gemma":[0.001489164,0.0001894002,0.0005623215,0.001603972,0.0006024649,0.0008685353,0.001003291,0.001616708,0.006891749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04552095,"about_ca_system_score_gemma":0.1796262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923872,"about_ca_topic_score_gemma":0.9968575,"domain_scores_codex":[0.9989517,0.00002472715,0.00001476657,0.00004095871,0.0006635035,0.0003043547],"domain_scores_gemma":[0.9988325,0.00003239667,0.00002208364,0.00001742849,0.0007653753,0.0003302586],"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":[0.00004350228,0.00002841176,0.002829009,0.0001288638,0.00001299792,0.00006650948,0.0001079309,0.0002866746,0.0003981058,0.01607661,0.9455041,0.03451731],"study_design_scores_gemma":[0.00002008385,0.0000121483,0.02030272,0.0001107334,0.00001166904,0.00003530692,0.0006242087,0.0006882781,0.0004822989,0.001787755,0.9759077,0.00001697153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02791778,0.008518667,0.001227336,0.115069,0.002707187,0.0002222656,0.1055057,0.001320843,0.7375113],"genre_scores_gemma":[0.1069037,0.006101626,0.00234437,0.009115467,0.0001488224,0.00006566814,0.02080786,0.0002408018,0.8542717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05238261,"threshold_uncertainty_score":0.3302791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005013414507443218,"score_gpt":0.2442693073107445,"score_spread":0.2392558928033013,"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."}}