{"id":"W7028767804","doi":"","title":"Global Clean Energy Investment Slumps In Third Quarter Of 2016","year":2016,"lang":"en","type":"other","venue":"","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Energy (signal processing); Clean energy; Clean technology","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":[0.0008671978,0.000448356,0.0002615437,0.001592957,0.001213519,0.004021277,0.0005733862,0.00210481,0.07383507],"category_scores_gemma":[0.002899859,0.000169173,0.0004561554,0.001936714,0.00065012,0.002379918,0.002683269,0.001824722,0.01938679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003894102,"about_ca_system_score_gemma":0.006707954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03556071,"about_ca_topic_score_gemma":0.07776111,"domain_scores_codex":[0.9993387,0.00003456554,0.00001848627,0.00004290697,0.0004154839,0.0001498006],"domain_scores_gemma":[0.9991984,0.00007131256,0.00006576027,0.00004753568,0.0004080472,0.0002089616],"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":[0.0001579005,0.00003911851,0.002739467,0.0002581418,0.00001073528,0.0001354002,0.0001697192,0.000372593,0.0005013171,0.0535847,0.8338331,0.1081978],"study_design_scores_gemma":[0.00000517358,0.000009001379,0.004590842,0.00009980733,0.000002300093,0.00003976822,0.0002781499,0.0001263187,0.0004572503,0.002586197,0.9917998,0.000005335252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01518108,0.006869648,0.001523627,0.03896816,0.01024667,0.000116646,0.02950191,0.001242384,0.8963498],"genre_scores_gemma":[0.03367519,0.004812469,0.0007958174,0.003548289,0.0006005495,0.00007369972,0.007985974,0.0003480409,0.9481599],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07383507,"threshold_uncertainty_score":0.247003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369383689368544,"score_gpt":0.2426200096702132,"score_spread":0.2289261727765277,"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."}}