{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004616992,0.0005685152,0.0001434489,0.001300684,0.001292033,0.002167665,0.0003288005,0.001099598,0.06812619],"category_scores_gemma":[0.002323091,0.0002438561,0.000412093,0.001671699,0.0003579918,0.001942823,0.001528006,0.001713268,0.02143259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002892377,"about_ca_system_score_gemma":0.007057738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0778393,"about_ca_topic_score_gemma":0.1603491,"domain_scores_codex":[0.9995505,0.00002492894,0.00001780912,0.00003670008,0.0002830978,0.00008693682],"domain_scores_gemma":[0.9987025,0.00008217225,0.00007851196,0.00004717302,0.0008764801,0.0002131906],"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":[0.0001294661,0.00005377766,0.00514462,0.0001074763,0.000008255538,0.0001062299,0.00006135244,0.0003833272,0.0005348066,0.01223575,0.9114085,0.06982636],"study_design_scores_gemma":[0.0000174549,0.00002936889,0.01031342,0.00005575936,0.000005318573,0.00005430727,0.0002819845,0.000581955,0.0005276158,0.001955458,0.986168,0.000009342063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04865521,0.002249568,0.004249335,0.05110236,0.007730386,0.0002096378,0.1015953,0.003344047,0.7808643],"genre_scores_gemma":[0.08481867,0.002622116,0.002410359,0.003471048,0.0004339829,0.0001092766,0.04088328,0.0003847478,0.8648667],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0778393,"threshold_uncertainty_score":0.2279049,"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."}}