{"id":"W4399866428","doi":"10.54254/2754-1169/92/20231298","title":"How Investments in Clean Energy Affect Job Creation in Canada Panel Data Analysis","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Job creation; Panel data; Sustainability; Investment (military); Affect (linguistics); Labour economics; Economics; Business; Natural resource economics; Political science; Engineering; Econometrics; Ecology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007596028,0.0001155771,0.0002206114,0.0004353821,0.0001331993,0.0003469867,0.0005770897,0.00003922886,0.00002074225],"category_scores_gemma":[0.00007211632,0.000115875,0.00002379343,0.001355683,0.0004393477,0.001675788,0.0001883114,0.00006422513,5.803147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008957072,"about_ca_system_score_gemma":0.0003252589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8829098,"about_ca_topic_score_gemma":0.9986511,"domain_scores_codex":[0.9982962,0.000122243,0.0002293068,0.0005657761,0.00018891,0.0005975597],"domain_scores_gemma":[0.9993789,0.0002917253,0.00004005651,0.0001623852,0.000005548467,0.0001213576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001911947,0.000008493182,0.1721132,0.000009494628,0.00001595308,0.00001163235,0.0001196385,0.00162975,6.47755e-8,0.6964728,0.00002198465,0.1295951],"study_design_scores_gemma":[0.000493989,0.00004201011,0.2751251,0.0001274682,0.0001067518,4.011306e-7,0.06705472,0.06243545,0.00001873719,0.4241822,0.1696816,0.0007315728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8255036,0.003431244,0.0002748453,0.005221426,0.0007407028,0.0002128552,0.00002590768,0.00002941323,0.16456],"genre_scores_gemma":[0.9891825,0.009409165,0.0003599481,0.0003406903,0.00008558655,0.00001964483,0.00001382731,0.000004554677,0.0005840876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2722906,"threshold_uncertainty_score":0.4725246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820985289132218,"score_gpt":0.3058029317494042,"score_spread":0.277593078858082,"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."}}