{"id":"W2805187720","doi":"10.5204/mcj.1391","title":"North by North","year":2017,"lang":"en","type":"article","venue":"M/C Journal","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercator projection; Geography; Globe; Cartography; Genealogy; Convention; History; Law; Political 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":[0.0009550847,0.0008811901,0.0005433347,0.0009273452,0.007891909,0.008537527,0.0008725933,0.001979515,0.1540894],"category_scores_gemma":[0.002554574,0.000355103,0.000481762,0.0009332605,0.004767897,0.007609221,0.006425432,0.005010027,0.06035168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002858583,"about_ca_system_score_gemma":0.003391222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01457618,"about_ca_topic_score_gemma":0.03785926,"domain_scores_codex":[0.9981401,0.0004310799,0.00007127556,0.0005229221,0.0004123345,0.0004223689],"domain_scores_gemma":[0.9989403,0.0001339851,0.00007315326,0.0001947937,0.0003439748,0.0003137846],"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":[0.00004536768,0.00002009599,0.000992507,0.0001347481,0.000007630743,0.0001808424,0.01047836,0.00005474006,0.000361833,0.3871527,0.5417709,0.05880024],"study_design_scores_gemma":[0.000002311149,0.000003733419,0.000210666,0.00004421362,0.000001223739,0.00004506141,0.001116472,0.000008062179,0.00004237425,0.004403541,0.9941181,0.000004214974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001963547,0.001774165,0.001703382,0.01516955,0.00623375,0.0000241324,0.0002628339,0.0002223161,0.9726462],"genre_scores_gemma":[0.06119655,0.002417544,0.002534414,0.01754101,0.001341744,0.00007316354,0.0004120058,0.0009842551,0.9134994],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1540894,"threshold_uncertainty_score":0.5154805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03644133377586364,"score_gpt":0.3435649035913494,"score_spread":0.3071235698154858,"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."}}