{"id":"W4415585982","doi":"10.21083/crrf.v31i1.7342","title":"Catching The Train? A Community-based Analysis of Digital Technologies Utilization in Rural Manitoba, Canada","year":2023,"lang":"","type":"article","venue":"Proceedings of the Canadian Rural Revitalization Foundation","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"Mitacs","keywords":"Panacea (medicine); Operationalization; Order (exchange); Emerging technologies; Rural area; Creativity; Enabling; Resilience (materials science); Perspective (graphical)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001474536,0.0002741059,0.0004407066,0.001825768,0.001302325,0.00038612,0.001079521,0.000251907,0.00001824821],"category_scores_gemma":[0.001734035,0.0002225086,0.0001423429,0.01579006,0.0005449096,0.001091318,0.0002727577,0.00046959,0.000003860801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231575,"about_ca_system_score_gemma":0.0008426738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7046041,"about_ca_topic_score_gemma":0.9664468,"domain_scores_codex":[0.9979014,0.00003216366,0.0009151736,0.0001915632,0.0005408628,0.0004188425],"domain_scores_gemma":[0.9974232,0.00009700755,0.001160699,0.0002420486,0.00106172,0.00001537014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002317776,0.00005814576,0.7824211,0.000968617,0.0004971827,4.865794e-7,0.001566035,0.001153901,0.0001080111,0.1914256,0.001404131,0.02037364],"study_design_scores_gemma":[0.0008906355,0.00003311337,0.7382866,0.001387695,0.001426155,0.000001072066,0.1405625,0.06823685,0.001113725,0.03746688,0.00962583,0.0009689876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838076,0.0000577014,0.00008537801,0.01243379,0.000348185,0.001064884,0.00004928662,0.00009284249,0.002060381],"genre_scores_gemma":[0.9987288,0.00003176654,0.00001329079,0.0003184486,0.00002809945,0.00005530858,0.0007113864,0.00002439504,0.00008850444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2618427,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04811588951999173,"score_gpt":0.2484778967490398,"score_spread":0.200362007229048,"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."}}