{"id":"W7005946961","doi":"","title":"SgurrEnergy Supports Canadian Wind Portfolio to Financial Close","year":2016,"lang":"en","type":"other","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Boom; Financial market; Portfolio investment; Financial plan; Investment (military)","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":[0.002503971,0.001152349,0.0007103159,0.002397116,0.003816596,0.004928337,0.002706171,0.00160127,0.5150524],"category_scores_gemma":[0.005674876,0.0004077484,0.0006274595,0.001727571,0.001000501,0.00180887,0.003177733,0.002353386,0.3290815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007855012,"about_ca_system_score_gemma":0.03222163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3660427,"about_ca_topic_score_gemma":0.621411,"domain_scores_codex":[0.9970775,0.00008975343,0.00004241241,0.0002544526,0.002006786,0.0005291853],"domain_scores_gemma":[0.9883413,0.0001936219,0.0001411654,0.0005235346,0.007296931,0.003503441],"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":[0.00005810247,0.00003855469,0.0003085433,0.000038825,0.000004852581,0.00005473657,0.00005059004,0.0001242181,0.0006262776,0.01137488,0.9345132,0.05280724],"study_design_scores_gemma":[0.00001178465,0.000008579454,0.0003921057,0.00002624019,0.000002910401,0.00003325946,0.00005419177,0.0003363007,0.0003977923,0.001211098,0.9975191,0.000006603596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001492368,0.0005747932,0.004424267,0.007539575,0.00244757,0.0001852192,0.01436481,0.004704702,0.9642667],"genre_scores_gemma":[0.004951978,0.0002857504,0.003597972,0.0006234148,0.0001378412,0.00004102422,0.008945974,0.00160185,0.9798142],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6339573,"threshold_uncertainty_score":0.7278242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002844589879947573,"score_gpt":0.2395442396618033,"score_spread":0.2366996497818557,"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."}}