{"id":"W7053310946","doi":"","title":"Weak Global Clean Energy Investment in Third Quarter - Solar Thermal Magazine","year":2016,"lang":"en","type":"other","venue":"","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Clean energy; Clean technology; Investment (military); Quarter (Canadian coin); Solar energy; Renewable energy","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":[0.001187825,0.0006365773,0.0003137594,0.001200745,0.001999231,0.007546213,0.0006100333,0.002477812,0.1245003],"category_scores_gemma":[0.003731125,0.0002403982,0.0002981929,0.001199623,0.0008711017,0.003667557,0.001882825,0.002748992,0.04421878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003638356,"about_ca_system_score_gemma":0.005778014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008184743,"about_ca_topic_score_gemma":0.0267681,"domain_scores_codex":[0.9991114,0.0000532965,0.00002068139,0.00005417246,0.0006183896,0.0001420443],"domain_scores_gemma":[0.9986548,0.0001371393,0.00007446112,0.0000808456,0.0006008327,0.0004519088],"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":[0.00003641239,0.00001907308,0.0001974339,0.00006775511,0.000002874005,0.00003382631,0.00003887518,0.0001000249,0.0002215178,0.03119648,0.9304211,0.03766473],"study_design_scores_gemma":[0.000002042526,0.00000483633,0.000455173,0.00004418717,0.00000111159,0.00001590054,0.00006285956,0.00007331309,0.0001996638,0.002337749,0.9967997,0.000003327732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00293697,0.006047646,0.0006971041,0.04780864,0.01550873,0.00002577875,0.001961423,0.0006252353,0.9243885],"genre_scores_gemma":[0.01600175,0.00390371,0.000318886,0.005709847,0.002038065,0.0000171458,0.0006797327,0.0003595238,0.9709712],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1245003,"threshold_uncertainty_score":0.4164948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006780295116232985,"score_gpt":0.2428115793012741,"score_spread":0.2360312841850411,"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."}}