{"id":"W2228266335","doi":"10.32396/usurj.v2i1.111","title":"Visualizing relationships in interdisciplinary research with Geographic Information Systems: A case study utilizing food security research in Sahelian West Africa","year":2015,"lang":"en","type":"article","venue":"USURJ University of Saskatchewan Undergraduate Research Journal","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geospatial analysis; General partnership; Geography; Food security; Agriculture; Geographic information system; Rainwater harvesting; Soil fertility; Environmental resource management; Environmental planning; Business; Cartography; Environmental science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02928729,0.0002180733,0.0004025402,0.001769861,0.002235747,0.0004375477,0.000932064,0.0002414539,0.00001904176],"category_scores_gemma":[0.000271423,0.0001097591,0.00007186154,0.008059611,0.0007175684,0.001601937,0.00152958,0.004707054,0.00004738311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009841064,"about_ca_system_score_gemma":0.0007442037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02755689,"about_ca_topic_score_gemma":0.1857118,"domain_scores_codex":[0.9865839,0.007302807,0.0006079442,0.0004524561,0.003636508,0.001416374],"domain_scores_gemma":[0.9943673,0.001645177,0.0001620793,0.0001722122,0.002994395,0.0006588383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00336322,0.004175418,0.5641262,0.0003600934,0.000322784,0.02043132,0.3826587,0.0004700829,0.0009911333,0.00169686,0.00517109,0.0162331],"study_design_scores_gemma":[0.001283042,0.003730853,0.04525784,0.0005939939,0.000005693376,0.0008923152,0.9408657,0.0001763615,0.00001189283,0.005909253,0.001051675,0.0002213946],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900128,0.0003015117,0.000005818563,0.005099731,0.00004268287,0.00122331,0.00001483518,0.00002542714,0.00327385],"genre_scores_gemma":[0.9994521,0.0001836812,0.00005736599,0.000001379601,0.0000725732,0.000007119136,0.00002230677,0.000003279711,0.0002001897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.558207,"threshold_uncertainty_score":0.999553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.146016195655396,"score_gpt":0.3337578177675819,"score_spread":0.1877416221121859,"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."}}