{"id":"W6959821422","doi":"10.11575/sppp.v16i1.75178","title":"Implications of a Northern Corridor on Soft Infrastructure in the North and Near North","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Training (meteorology); Social Welfare; Welfare; Transportation infrastructure; Public policy; Critical infrastructure; Service (business)","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":[0.00306854,0.0002968945,0.0005495093,0.002106178,0.005541108,0.006261746,0.001302437,0.0008625794,0.004954477],"category_scores_gemma":[0.006265673,0.0002200568,0.000594746,0.004771136,0.006535211,0.002688063,0.003178378,0.001442663,0.0001822015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05921421,"about_ca_system_score_gemma":0.192653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9705642,"about_ca_topic_score_gemma":0.9889138,"domain_scores_codex":[0.997326,0.0005722332,0.0001172399,0.0002405428,0.0008109493,0.0009330717],"domain_scores_gemma":[0.9939309,0.00205186,0.0007395052,0.0001551917,0.002419212,0.0007033203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002408655,0.00006147569,0.05533083,0.01881467,0.0003132463,0.00390692,0.09427685,0.003842761,0.001602971,0.4703842,0.04923338,0.3019919],"study_design_scores_gemma":[0.00002693179,0.00006650835,0.1734015,0.02993434,0.0005542841,0.000967635,0.2446938,0.0006710485,0.001166319,0.03490242,0.5134498,0.0001654196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2641757,0.2788196,0.003157531,0.1231475,0.001425767,0.0002254823,0.003402959,0.00009293201,0.3255527],"genre_scores_gemma":[0.8554568,0.1287236,0.002487725,0.005159462,0.00009720996,0.00008602179,0.0004653874,0.00002285988,0.00750088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9705642,"threshold_uncertainty_score":0.4296311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1605101428054805,"score_gpt":0.5160082466685707,"score_spread":0.3554981038630902,"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."}}