{"id":"W7135567296","doi":"","title":"Marlene Wind: Europa kan blive den store vinder efter coronakrisen","year":2020,"lang":"da","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Context (archaeology); Gloom","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001504481,0.0007293681,0.0004320873,0.0005196455,0.001444393,0.005159929,0.0008979758,0.006713434,0.1025913],"category_scores_gemma":[0.002592526,0.0003225617,0.0005781656,0.0007132357,0.0008085592,0.002112571,0.002134214,0.003719906,0.0307788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950955,"about_ca_system_score_gemma":0.005491654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019177,"about_ca_topic_score_gemma":0.02289205,"domain_scores_codex":[0.9986818,0.0001277772,0.00004954963,0.0002211374,0.0006367157,0.0002830449],"domain_scores_gemma":[0.9987401,0.0001538014,0.000121779,0.00007305369,0.0004586871,0.0004525225],"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":[0.000286471,0.000053344,0.0007552755,0.0004177217,0.00001944166,0.0001730524,0.0001375372,0.00012579,0.002428108,0.006058802,0.9305402,0.05900417],"study_design_scores_gemma":[0.00001100591,0.00001963747,0.0008039419,0.00009923243,0.000004336059,0.00002249573,0.00008149282,0.00001435355,0.00040964,0.0003201347,0.9982084,0.000005355274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01055816,0.09267201,0.001800068,0.390111,0.06743776,0.0002455011,0.009104833,0.0007999337,0.4272708],"genre_scores_gemma":[0.0238988,0.02603116,0.001249352,0.02539264,0.003955683,0.00007056149,0.003349965,0.0005253408,0.9155265],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1025913,"threshold_uncertainty_score":0.3432022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0920175519803593,"score_gpt":0.3026404349631597,"score_spread":0.2106228829828004,"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."}}