{"id":"W7062762264","doi":"","title":"US Wind Development Pipeline Grew by 6,146 MW in First Quarter","year":2019,"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":"Pipeline (software); Quarter (Canadian coin); Wind power; Pipeline transport","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":[0.0006557857,0.001015943,0.0002211419,0.001202045,0.0009452056,0.001501041,0.0003825819,0.0007457763,0.105951],"category_scores_gemma":[0.001039358,0.0003521276,0.0004779367,0.000749783,0.0003407909,0.001194353,0.001270861,0.001634673,0.04314827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185929,"about_ca_system_score_gemma":0.004219788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02330192,"about_ca_topic_score_gemma":0.04553366,"domain_scores_codex":[0.9997016,0.00002015872,0.000007019574,0.00003642671,0.0001806771,0.00005413317],"domain_scores_gemma":[0.999261,0.00003762755,0.00001955104,0.00004450232,0.0004986203,0.0001387675],"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":[0.0001805933,0.00008838003,0.001091105,0.00007518333,0.00001024021,0.00005329212,0.00001974332,0.0005620357,0.002498631,0.006930049,0.834897,0.1535937],"study_design_scores_gemma":[0.00002643889,0.00005086571,0.002077225,0.00003020464,0.000004820719,0.00002021071,0.00003182621,0.001005872,0.001127026,0.001236469,0.9943831,0.000006105903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02114698,0.001934462,0.01564376,0.01525651,0.008128512,0.0004742718,0.03593682,0.009539509,0.8919391],"genre_scores_gemma":[0.03222685,0.001351645,0.009296685,0.001870722,0.0003896161,0.0001354325,0.02354299,0.001079269,0.9301068],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.105951,"threshold_uncertainty_score":0.3544412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007635109516194055,"score_gpt":0.2104307724182922,"score_spread":0.2027956629020981,"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."}}