{"id":"W2523660333","doi":"10.1126/science.aai8198","title":"Toward strategic, coherent, policy-relevant arctic science","year":2016,"lang":"en","type":"article","venue":"Science","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Wildlife Fund Canada","funders":"","keywords":"Arctic; White paper; The arctic; Curiosity; Political science; Government (linguistics); Science policy; Climate change; White (mutation); Climate science; Public administration; Environmental ethics; Oceanography; Psychology; Law; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002356574,0.0001341944,0.0001476491,0.0003392776,0.003090386,0.0002244533,0.001461458,0.00003904066,0.0001741635],"category_scores_gemma":[0.001963091,0.00007957215,0.00004955961,0.002660373,0.02077718,0.0009367507,0.0003162828,0.00008346632,0.0004229802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007014217,"about_ca_system_score_gemma":0.004762776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004072075,"about_ca_topic_score_gemma":0.0007195954,"domain_scores_codex":[0.9965439,0.00005817585,0.0001940584,0.0005632412,0.001435073,0.001205479],"domain_scores_gemma":[0.9986346,0.0001457519,0.0001003421,0.0003341164,0.0003010652,0.000484118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004994669,0.00003066868,0.003616053,0.0000059941,0.000003818602,0.00000407393,0.009683849,3.706502e-7,0.009880775,0.9667453,0.0003091541,0.009714907],"study_design_scores_gemma":[0.001116089,0.0003282804,0.1194401,0.0003609702,0.00003134322,0.00002461133,0.0368405,0.00003878984,0.007899747,0.6727862,0.1597915,0.001341909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2164256,0.0002299422,0.0004693178,0.1492044,0.001403094,0.0004798014,0.00001289476,0.0002733731,0.6315016],"genre_scores_gemma":[0.9934269,0.0002718298,0.0003777496,0.0004902286,0.000435118,0.00001114576,3.507453e-8,0.000005942807,0.004981114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7770012,"threshold_uncertainty_score":0.9982074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0729403345863436,"score_gpt":0.3674981009164362,"score_spread":0.2945577663300926,"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."}}