{"id":"W4233758117","doi":"10.1088/1755-1315/835/1/011001","title":"Preface","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); China; Library science; Session (web analytics); Political science; Engineering; Business; Medicine; Computer science","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":[0.001743251,0.001166152,0.0008716501,0.002651556,0.003104374,0.004875922,0.00175836,0.001874726,0.5569433],"category_scores_gemma":[0.009574979,0.0003805995,0.0007188524,0.002252937,0.000700434,0.003700671,0.002546,0.003122053,0.4072708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249609,"about_ca_system_score_gemma":0.003493201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00439601,"about_ca_topic_score_gemma":0.004258951,"domain_scores_codex":[0.9986017,0.0002077435,0.0001073417,0.0002680488,0.0006587163,0.0001564181],"domain_scores_gemma":[0.995351,0.0006316058,0.0001660701,0.0003604195,0.002798222,0.0006926577],"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":[0.00003468182,0.00002021569,0.0001140577,0.0001288495,0.000002332524,0.0000586883,0.0001017818,0.00005344767,0.0001072867,0.003268556,0.9552299,0.04088016],"study_design_scores_gemma":[0.000003358631,0.00001329042,0.000196539,0.0000967724,0.000001261837,0.00006078973,0.0001103844,0.0000181521,0.00005169811,0.001013824,0.9984298,0.00000423403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001941248,0.01021567,0.005872363,0.02988336,0.1182535,0.0009333635,0.01841827,0.002487663,0.8119946],"genre_scores_gemma":[0.006917065,0.006132611,0.002929189,0.008480312,0.012373,0.0005138392,0.01884679,0.00102431,0.9427829],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5569433,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208917681463889,"score_gpt":0.256172685415153,"score_spread":0.2352809172687641,"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."}}