{"id":"W7002770909","doi":"","title":"\\n Siemens to supply wind turbines for South Kent Wind project in Canada\\n","year":2013,"lang":"en","type":"other","venue":"","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Siemens; Wind power; Turbine; Mains electricity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005345739,0.0003974885,0.0002642144,0.0009571663,0.0030019,0.001082769,0.0009124267,0.001481495,0.3496329],"category_scores_gemma":[0.002594022,0.0003090871,0.0003609723,0.0007630541,0.000528431,0.0005852716,0.001509797,0.001331967,0.08672946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003759708,"about_ca_system_score_gemma":0.02002152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6457494,"about_ca_topic_score_gemma":0.8999084,"domain_scores_codex":[0.9994625,0.00003947553,0.00001662825,0.00003613508,0.0002588189,0.0001863797],"domain_scores_gemma":[0.9977167,0.0002075287,0.00007592362,0.0000814721,0.001342419,0.0005760043],"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":[0.00004083911,0.00003111949,0.001293799,0.00005904174,0.000003130414,0.0001397821,0.00006612911,0.00007197529,0.0001875801,0.00241651,0.9536043,0.04208581],"study_design_scores_gemma":[0.0000247797,0.00001288835,0.004795513,0.00009060934,0.000003278905,0.0001264689,0.0001894045,0.0001595945,0.0001915593,0.000563183,0.9938327,0.000009922429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00256215,0.0007879431,0.0007445489,0.005891055,0.0006785689,0.0001932721,0.005883633,0.0006429103,0.9826159],"genre_scores_gemma":[0.005535586,0.000616942,0.0007306001,0.001569875,0.00006627403,0.00006337901,0.002009565,0.0003423377,0.9890655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3542506,"threshold_uncertainty_score":0.9276698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695162928547061,"score_gpt":0.2580558509237023,"score_spread":0.2411042216382316,"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."}}