{"id":"W7047874843","doi":"","title":"Innergex Secures Financing For 200 MW Of Hydro And Wind Projects In Canada","year":2024,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Investment (military); Wind power; Boom; Work (physics)","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":[0.000799317,0.0008375962,0.0004098385,0.001459564,0.003597669,0.002894917,0.001123982,0.001552021,0.2384593],"category_scores_gemma":[0.0019197,0.0005447673,0.0005924244,0.0009796381,0.001006496,0.000816428,0.002270979,0.001552811,0.05170207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01710358,"about_ca_system_score_gemma":0.05722213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8989928,"about_ca_topic_score_gemma":0.9405855,"domain_scores_codex":[0.9987639,0.00003501176,0.00001255683,0.00009169796,0.0005720616,0.0005247881],"domain_scores_gemma":[0.9967256,0.0001245896,0.00006156091,0.0001462647,0.001601619,0.001340454],"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":[0.0002025593,0.00008407183,0.003642455,0.00007834802,0.00002475815,0.0002274833,0.0001472115,0.001214579,0.00115229,0.03466667,0.8960419,0.06251771],"study_design_scores_gemma":[0.00004469531,0.0000276204,0.004546957,0.00003840178,0.000006043213,0.00005265586,0.0002236085,0.001911905,0.0007515075,0.001587247,0.9907913,0.00001815922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01364426,0.0006537569,0.002713104,0.005541102,0.0007458114,0.0002084212,0.01512984,0.002957506,0.9584062],"genre_scores_gemma":[0.02533534,0.000204605,0.001190741,0.0005293548,0.00004131489,0.00003935716,0.003559205,0.000589042,0.968511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2384593,"threshold_uncertainty_score":0.7977257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008679242246860395,"score_gpt":0.2395829857243799,"score_spread":0.2309037434775195,"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."}}