{"id":"W4390046132","doi":"10.5311/josis.2023.27.307","title":"Reimagining GIScience education for enhanced employability","year":2023,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Employability; Geography; Data science; Computer science; Sociology; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004333798,0.0004860652,0.0003640384,0.0004818973,0.00191098,0.00497409,0.0009665558,0.01013916,0.009953263],"category_scores_gemma":[0.02214545,0.000195078,0.0006217693,0.0002422767,0.002545526,0.004106584,0.00412696,0.01609445,0.003048007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002544764,"about_ca_system_score_gemma":0.005413302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890478,"about_ca_topic_score_gemma":0.006978808,"domain_scores_codex":[0.9973604,0.0008698736,0.00017546,0.0002648495,0.0008459931,0.0004834369],"domain_scores_gemma":[0.9882936,0.002805559,0.0004946404,0.0003920043,0.003393564,0.004620724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001362805,0.0003276455,0.001785161,0.0004168751,0.00003136493,0.001309366,0.001992888,0.0002314654,0.002068983,0.02034964,0.8236117,0.1477387],"study_design_scores_gemma":[0.00005605443,0.0002153704,0.001068043,0.0002800958,0.00001995412,0.001139133,0.002051992,0.0003155774,0.001397376,0.0132724,0.980148,0.00003606921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.002816617,0.003878784,0.001426567,0.9293725,0.05741891,0.00001909706,0.00001697775,0.00008806827,0.004962479],"genre_scores_gemma":[0.1045772,0.00942851,0.008471359,0.6672484,0.1104756,0.0001272672,0.00005676759,0.0002428978,0.09937183],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01013916,"threshold_uncertainty_score":0.033297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04356390112471439,"score_gpt":0.4237467840321306,"score_spread":0.3801828829074162,"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."}}