{"id":"W6987841070","doi":"","title":"US Wind Development Pipeline Grew By 6 Gigawatts In First Quarter Of 2019","year":2019,"lang":"en","type":"other","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Quarter (Canadian coin); Pipeline transport; Wind power","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004724819,0.0002797568,0.000384356,0.0003398125,0.000004136439,0.000007401289,0.0002273277,0.0004125577,0.000514949],"category_scores_gemma":[0.000006391685,0.0002548335,0.00003738458,0.0001338711,0.0000181717,0.00001976969,0.00003487575,0.0002255807,0.0003610109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005116958,"about_ca_system_score_gemma":0.00001355067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001087777,"about_ca_topic_score_gemma":0.000223695,"domain_scores_codex":[0.9991754,0.00000253304,0.0002692423,0.0001838642,0.0001257659,0.0002431484],"domain_scores_gemma":[0.9995882,0.00001902148,0.00003458163,0.0003262751,0.000007079321,0.00002488026],"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":[7.619363e-7,0.00001665449,0.0003927925,0.0003389318,0.00004311104,0.000002395118,0.00003478359,0.001682221,0.00006887068,0.00002865704,0.9951335,0.002257381],"study_design_scores_gemma":[0.0002678624,0.00001519454,0.0002365012,0.0003736275,0.000005792366,0.000001094149,0.00001688868,0.0009016158,0.003002347,0.000003375866,0.9948074,0.0003683212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003122248,0.00883895,0.006391983,0.0001128481,0.001517278,0.0006260712,0.00007292267,0.003363125,0.9759546],"genre_scores_gemma":[0.08860981,0.000631571,0.005424588,0.00001264175,0.00008278637,0.00001732788,0.0001052445,0.0006687852,0.9044473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08548757,"threshold_uncertainty_score":0.9999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003728302297576579,"score_gpt":0.1703423084571253,"score_spread":0.1666140061595487,"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."}}