{"id":"W7067588663","doi":"","title":"More than one quarter of all venture capital funding is going to climate technology, with increased focus on technologies that have the most potential to cut emissions","year":2022,"lang":"en","type":"other","venue":"","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Focus (optics); Capital (architecture); Venture capital; Investment (military); Climate change","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":[0.0008603705,0.000587345,0.0002681515,0.001368928,0.001175555,0.003280134,0.0006794575,0.002143895,0.1760025],"category_scores_gemma":[0.002784282,0.0002859315,0.0004580973,0.0008517664,0.0006215403,0.001180627,0.001726061,0.001758403,0.06713807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201793,"about_ca_system_score_gemma":0.008191098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02748221,"about_ca_topic_score_gemma":0.05443823,"domain_scores_codex":[0.9991562,0.00006419355,0.00001793677,0.00006254676,0.0004821072,0.0002168466],"domain_scores_gemma":[0.998444,0.000187205,0.00006427212,0.00006621407,0.0006577279,0.0005805464],"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":[0.00006585481,0.000109372,0.0008088026,0.00009852189,0.000006270593,0.0001025525,0.0000298116,0.0001530802,0.0005522749,0.01780788,0.9061111,0.07415437],"study_design_scores_gemma":[0.00003626509,0.00002468516,0.002989447,0.00007719137,0.00000265068,0.0000747454,0.00005175177,0.0003125118,0.0003364369,0.001962316,0.9941238,0.000008199346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004122504,0.0009377096,0.0008313678,0.006251648,0.001825836,0.0001299203,0.006866253,0.0005437203,0.9784909],"genre_scores_gemma":[0.008901985,0.0009002505,0.000621371,0.002176653,0.00021898,0.00008363403,0.004229128,0.0001848434,0.9826832],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1760025,"threshold_uncertainty_score":0.5887872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327128673828052,"score_gpt":0.2214576013510652,"score_spread":0.2081863146127847,"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."}}