{"id":"W4384170375","doi":"10.1515/9780773569577-fm","title":"Front Matter","year":2002,"lang":"en","type":"paratext","venue":"McGill-Queen's University Press eBooks","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Front (military); Physics; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002397264,0.0006143762,0.0004356358,0.0005471384,0.001830569,0.004561723,0.0005831195,0.002691101,0.8344867],"category_scores_gemma":[0.0009818629,0.0002232871,0.000312412,0.0006392237,0.0006957391,0.001514815,0.001497247,0.001425844,0.776933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009922703,"about_ca_system_score_gemma":0.001057586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004542897,"about_ca_topic_score_gemma":0.01323086,"domain_scores_codex":[0.9997475,0.00002187677,0.00001263819,0.00007043767,0.0000922422,0.00005534097],"domain_scores_gemma":[0.9997215,0.00004595296,0.00001394048,0.00002405324,0.000093519,0.0001010258],"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":[0.0000631855,0.00002730751,0.0005176859,0.0001624532,0.000003589797,0.0001500628,0.0001331561,0.00003780618,0.000340342,0.008065507,0.8774063,0.1130927],"study_design_scores_gemma":[0.000002782273,0.000005277053,0.0003270344,0.00005059827,7.067881e-7,0.00003467445,0.00007951083,0.00001060943,0.00003393892,0.0003146181,0.9991391,0.000001140486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006333617,0.001571432,0.0001370792,0.004292931,0.003118688,0.00002126065,0.001075494,0.0001482454,0.9890015],"genre_scores_gemma":[0.001299185,0.0005596503,0.00005553311,0.0008456341,0.000187946,0.000005239701,0.0002643297,0.0000420849,0.9967404],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1655133,"threshold_uncertainty_score":0.2360847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334070408291946,"score_gpt":0.2541962809008264,"score_spread":0.2308555768179069,"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."}}