{"id":"W2595411407","doi":"","title":"Marginal regions in discursive space: An examination of socio-economic conditions, development paths and spatial differentiation in the economic systems of the Canadian and Russian North","year":2009,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Space (punctuation); Geography; Economic geography; Regional science; Linguistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002834557,0.0001517637,0.0004892184,0.0002556969,0.0001641176,0.00002665141,0.0002495369,0.0001654852,0.0001404832],"category_scores_gemma":[0.000006338198,0.0001599536,0.00008384637,0.00004378369,0.00009922811,0.0002612007,0.00002055098,0.0001118525,0.000001570457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068928,"about_ca_system_score_gemma":0.0002345978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8983866,"about_ca_topic_score_gemma":0.9970918,"domain_scores_codex":[0.9991012,0.00006373083,0.000370278,0.0002845998,0.00003997883,0.0001402346],"domain_scores_gemma":[0.998602,0.00003254173,0.001079211,0.0002074036,0.00002108922,0.00005779213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001511157,0.0001968576,0.5102164,0.0003757376,0.000360169,0.000005813853,0.07922857,0.002783949,0.000008369095,0.3971087,0.00007804114,0.009486296],"study_design_scores_gemma":[0.0003795734,0.00004333849,0.9801902,0.00005807727,0.00003110627,6.895116e-7,0.0130681,0.005422383,0.000001272514,0.0005650005,0.00008775229,0.0001525471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942055,0.0004590582,0.00002432828,0.0004946148,0.0001098702,0.0003277189,0.0002486499,0.000001569357,0.004128641],"genre_scores_gemma":[0.9985447,0.0006654271,0.00002991996,0.000005599777,0.00001715262,0.000002295274,0.0004040578,0.000007960738,0.0003229011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4699738,"threshold_uncertainty_score":0.6522719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117332255378546,"score_gpt":0.1973323968940997,"score_spread":0.1855991713562451,"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."}}