{"id":"W7063635749","doi":"","title":"Alberta takes action to become Canada’s largest market for new wind investments","year":2016,"lang":"en","type":"other","venue":"","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Action (physics); Investment (military); Boom; Government (linguistics); Productivity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002916608,0.0002584439,0.000258535,0.00006717286,0.00005736558,0.00003257551,0.000101828,0.00007127879,0.01231046],"category_scores_gemma":[0.000004840541,0.0002040109,0.00006967024,0.00002613063,0.000009833444,0.00003190999,0.00002623549,0.00005840094,0.0001029173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008966,"about_ca_system_score_gemma":0.0005009529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8376499,"about_ca_topic_score_gemma":0.8345442,"domain_scores_codex":[0.9991198,0.00001087036,0.0001434404,0.0002989074,0.0001242515,0.000302753],"domain_scores_gemma":[0.9993574,0.00005599791,0.0001231652,0.0002145122,0.0000258945,0.0002230042],"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":[0.000008593977,0.00001293201,0.0004227978,0.000006498259,0.000142294,2.778413e-7,0.000008141124,9.026725e-7,0.00001570757,0.005654154,0.9880065,0.005721198],"study_design_scores_gemma":[0.0003518488,0.0000164154,0.0002428738,0.0000796691,0.00003331046,1.308313e-7,0.00004051653,0.00003171127,0.00005714642,0.0004184869,0.9984391,0.0002888191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002557196,0.00001345236,0.01313678,0.001050038,0.0005329113,0.0005395554,0.0002784677,0.00001505864,0.9844081],"genre_scores_gemma":[0.000965296,0.000001133537,0.004078538,0.0003875722,0.001515559,0.000005811186,0.0001085582,0.0002389487,0.9926986],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01220755,"threshold_uncertainty_score":0.9885924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886333785506331,"score_gpt":0.2598223723323013,"score_spread":0.240959034477238,"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."}}