{"id":"W7146200714","doi":"","title":"Notes on Information and Food-Resource Flow among the Urban Inuit in Montreal, Canada","year":2008,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flow (mathematics); Information flow; Field (mathematics); Population; Information system","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003089418,0.0001649454,0.0002012239,0.00007030689,0.006086309,0.00001508219,0.0001505042,0.0001064701,0.00002501683],"category_scores_gemma":[0.0006886487,0.0001171209,0.00002295003,0.0001800561,0.0002807705,0.0004140582,0.0002299324,0.0004914607,0.00002228617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009038502,"about_ca_system_score_gemma":0.002111415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8597925,"about_ca_topic_score_gemma":0.9919668,"domain_scores_codex":[0.9983209,0.0001330729,0.0004896198,0.0001849159,0.0003417123,0.0005297326],"domain_scores_gemma":[0.9986166,0.0006616699,0.0001692964,0.0002950059,0.0001667673,0.00009061069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001962066,0.00007944068,0.840704,0.0001547114,0.00008876229,0.0001819095,0.05797625,0.001637556,0.000006464403,0.01331609,0.08510321,0.0005554209],"study_design_scores_gemma":[0.0007609377,0.0001298445,0.699088,0.000150328,0.00001532647,0.00005760801,0.007707952,0.0004344833,0.00002122474,0.00004105069,0.2913663,0.0002269269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881638,0.0001951601,0.00005251681,0.001191605,0.00138402,0.0006677654,0.0006899619,0.0000310913,0.007624074],"genre_scores_gemma":[0.9972526,0.0000912229,0.0000578097,0.001378877,0.0005462672,0.0001706943,0.0003161367,0.000006587568,0.0001797803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2062631,"threshold_uncertainty_score":0.9952076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985871139850658,"score_gpt":0.2659723345298129,"score_spread":0.2461136231313063,"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."}}