{"id":"W1857474154","doi":"","title":"Building a Green Economy: Employment Effects of Green Energy Investments for Ontario","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Investment (military); Hydroelectricity; Shore; Wind power; Business; Energy conservation; Natural resource economics; Baseline (sea); Solar power; Green economy; Recreation; Economics; Power (physics); Environmental economics; Engineering; Sustainable development","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":[0.0004433484,0.0002383055,0.0002140379,0.0005325175,0.001736828,0.001114158,0.0005219996,0.0005816289,0.004339933],"category_scores_gemma":[0.001922359,0.0001301725,0.0004086095,0.001861028,0.0007110399,0.0006559795,0.0006767345,0.0004718227,0.0001778109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03921877,"about_ca_system_score_gemma":0.02094681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9795297,"about_ca_topic_score_gemma":0.9938204,"domain_scores_codex":[0.9994485,0.00007550723,0.000008472833,0.00002893984,0.0001894004,0.0002491369],"domain_scores_gemma":[0.9993586,0.0001550728,0.0001125435,0.00002684883,0.0002389386,0.0001078844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001409406,0.0003239031,0.4926218,0.0007085231,0.0004130493,0.001575715,0.005144645,0.1756641,0.002073475,0.140446,0.05916811,0.1204513],"study_design_scores_gemma":[0.0002469804,0.0002995165,0.7386773,0.0002727168,0.0002813683,0.0001765281,0.01544849,0.07086765,0.002627024,0.03189838,0.1390693,0.0001348065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801354,0.002896033,0.002594427,0.01339183,0.00008140859,0.0001013415,0.006468143,0.00005277536,0.09427869],"genre_scores_gemma":[0.9859912,0.001085954,0.0005386761,0.0001892149,0.00001456887,0.00001612802,0.0006910429,0.0000099131,0.01146341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03921877,"threshold_uncertainty_score":0.2845534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345256513817376,"score_gpt":0.3324915281035936,"score_spread":0.2990389629654198,"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."}}