{"id":"W7024810792","doi":"","title":"Solar power projects lined up in anticipation of Alberta NDP incentives","year":2016,"lang":"en","type":"other","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Incentive; Anticipation (artificial intelligence); Power (physics); Government (linguistics); Photovoltaic system","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":[0.0008452994,0.0002718162,0.0001574442,0.0007127604,0.001157695,0.002833754,0.0006372362,0.0008082819,0.02804804],"category_scores_gemma":[0.002765394,0.00017758,0.0002676035,0.0008533335,0.0003678151,0.0005187421,0.0007496518,0.001151577,0.001362735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01124764,"about_ca_system_score_gemma":0.01841496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4808346,"about_ca_topic_score_gemma":0.8264914,"domain_scores_codex":[0.9993243,0.00004957044,0.000008891899,0.00003630949,0.0004310146,0.0001499039],"domain_scores_gemma":[0.9989605,0.0001141277,0.00005732587,0.00004422658,0.0004655249,0.0003583376],"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":[0.001158736,0.0002481583,0.03486921,0.0003101347,0.00007477558,0.001221891,0.0005131551,0.03671167,0.004168419,0.179834,0.5332338,0.2076561],"study_design_scores_gemma":[0.0001212367,0.0001278774,0.06872074,0.0001586453,0.00003107854,0.0002268516,0.001200348,0.02271618,0.004500727,0.01670423,0.8854433,0.00004887737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.103515,0.0009961039,0.004925247,0.006858794,0.0007326582,0.0001680866,0.006869349,0.0008119171,0.8751228],"genre_scores_gemma":[0.382135,0.0007600177,0.003328999,0.0005184507,0.00007758511,0.00004339047,0.003008356,0.0001254902,0.6100026],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5191654,"threshold_uncertainty_score":0.9560717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009401964821789233,"score_gpt":0.2379623144580583,"score_spread":0.228560349636269,"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."}}