{"id":"W7045583433","doi":"","title":"Canada’s Clean Energy Sector Can Help Drive Economic Recovery From Covid-19","year":2020,"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":"Economic recovery; Clean energy; Energy (signal processing); Clean technology; Production (economics); Energy recovery","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":[0.001793573,0.001087469,0.0004970737,0.002208725,0.007644026,0.007792657,0.001872322,0.006435269,0.2063463],"category_scores_gemma":[0.005297833,0.0004466003,0.001382338,0.001306283,0.001967311,0.002059822,0.004562782,0.004653859,0.04619434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04350004,"about_ca_system_score_gemma":0.2010085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9500448,"about_ca_topic_score_gemma":0.982604,"domain_scores_codex":[0.9965727,0.0000923798,0.00004451035,0.000106398,0.001475411,0.001708625],"domain_scores_gemma":[0.9942761,0.000192309,0.00007223812,0.0001408694,0.002985181,0.002333325],"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":[0.00003291862,0.00004166354,0.0006182324,0.00005457716,0.000006311616,0.00007836098,0.00004990598,0.0001237561,0.0001497553,0.02406216,0.9562118,0.01857044],"study_design_scores_gemma":[0.00001588864,0.000009629982,0.001976376,0.00008055799,0.000004865608,0.00002019718,0.0001984186,0.0002321809,0.0001629021,0.002960855,0.9943242,0.00001392745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003761231,0.001930755,0.0007769744,0.07170693,0.004699348,0.0001968738,0.01114926,0.0009841004,0.9047946],"genre_scores_gemma":[0.01865113,0.001303524,0.001136663,0.01779736,0.0002894549,0.00008203951,0.003599287,0.0002978687,0.9568425],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2063463,"threshold_uncertainty_score":0.6902971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142274247914282,"score_gpt":0.2243799485683896,"score_spread":0.2129572060892468,"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."}}