{"id":"W6925766332","doi":"10.18739/a2tq5rg1m","title":"The COVID-19 Gender-Responsive Policies in the Arctic (2020–2022)","year":2023,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Sustainability; The arctic; Public policy; Order (exchange); State (computer science); Novelty","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":[0.001551464,0.0004618372,0.0003137947,0.00168114,0.0005710266,0.0020804,0.0005992948,0.0005602092,0.005616872],"category_scores_gemma":[0.003508478,0.0001510218,0.0005114792,0.002400597,0.0002176992,0.0009014296,0.001303589,0.0008111302,0.001905833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002452453,"about_ca_system_score_gemma":0.004655572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.124792,"about_ca_topic_score_gemma":0.1268328,"domain_scores_codex":[0.9992357,0.0001640196,0.000047396,0.00009641646,0.0002584319,0.0001979041],"domain_scores_gemma":[0.9987724,0.0001938022,0.0002125298,0.00006883741,0.0005132556,0.0002390348],"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":[0.0004551877,0.0001282419,0.1170904,0.00164639,0.0001872765,0.0004728278,0.001213537,0.01318504,0.0008321088,0.02558659,0.7390262,0.1001762],"study_design_scores_gemma":[0.00004839623,0.0000892072,0.1363029,0.0009639455,0.00004506587,0.00009117431,0.004089831,0.004034142,0.0007470346,0.003621769,0.8499152,0.00005141042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.093226,0.003566016,0.002520551,0.005611917,0.001367416,0.0001683428,0.8402958,0.0003703568,0.05287369],"genre_scores_gemma":[0.2949715,0.006002323,0.009753687,0.002130895,0.0005273847,0.001193993,0.6601656,0.0002478845,0.0250068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.124792,"threshold_uncertainty_score":0.2481312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135297905306719,"score_gpt":0.3254934683412282,"score_spread":0.284140489288161,"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."}}