{"id":"W7067503734","doi":"","title":"$100 million investments demonstrate significance of Ontario's Green Energy Act","year":2013,"lang":"en","type":"other","venue":"","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Production (economics); Investment (military); Energy (signal processing); Energy consumption; Sustainability","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":[0.001108412,0.0006952103,0.0002670988,0.001182132,0.00603253,0.004724264,0.0008641931,0.004693797,0.09909816],"category_scores_gemma":[0.002819247,0.0004600528,0.0007594107,0.001010426,0.001774146,0.0009628797,0.002115839,0.002395021,0.02355557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03304779,"about_ca_system_score_gemma":0.1025364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9319826,"about_ca_topic_score_gemma":0.9821244,"domain_scores_codex":[0.9973624,0.00006391854,0.00002908097,0.00007602931,0.001777134,0.0006914132],"domain_scores_gemma":[0.9968547,0.0001373864,0.00006928584,0.0001275708,0.001515956,0.001295108],"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":[0.0000450743,0.00003928849,0.001098051,0.00005331654,0.000007176027,0.0001132864,0.0001471565,0.0001449259,0.0003672898,0.01307883,0.961876,0.02302967],"study_design_scores_gemma":[0.00001377119,0.00001086018,0.005052036,0.00003230881,0.000004543704,0.00002940124,0.0002080819,0.0001106319,0.0001445111,0.0008706707,0.9935127,0.00001055114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006127347,0.0009018367,0.0005250839,0.04055685,0.001398379,0.0001734341,0.003815195,0.0004485789,0.9460534],"genre_scores_gemma":[0.009742322,0.0004915181,0.000391404,0.002755834,0.00008270346,0.00002623003,0.0005392308,0.00007379667,0.9858969],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09909816,"threshold_uncertainty_score":0.3315164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007506229393197219,"score_gpt":0.2705834366099077,"score_spread":0.2630772072167105,"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."}}