{"id":"W4399850520","doi":"10.3998/ticker.6330","title":"A collaboration across borders; Supporting Executive MBA Americas students","year":2024,"lang":"en","type":"article","venue":"Ticker The Academic Business Librarianship Review","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03595934,0.0006792552,0.0005917837,0.002542201,0.00754069,0.01387828,0.002495066,0.008477204,0.02954233],"category_scores_gemma":[0.04920319,0.0006100159,0.0005906178,0.002453995,0.001790402,0.01014748,0.01730805,0.008621398,0.01155562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003566072,"about_ca_system_score_gemma":0.06438743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005450983,"about_ca_topic_score_gemma":0.01939,"domain_scores_codex":[0.9815924,0.005897512,0.00106135,0.001206828,0.005105075,0.005136793],"domain_scores_gemma":[0.8249421,0.009786572,0.005691991,0.003391834,0.03551293,0.1206746],"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":[0.0001540878,0.000456786,0.003940126,0.0004299863,0.00002904926,0.0002604417,0.0009168904,0.00005421654,0.0007614798,0.008020552,0.8214162,0.1635601],"study_design_scores_gemma":[0.000112372,0.0001807659,0.005345808,0.0007540979,0.00003103587,0.0001397492,0.004622199,0.0000751945,0.0003610472,0.001817262,0.9865448,0.00001562458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01534916,0.03003318,0.002990423,0.7940768,0.04791814,0.0005771326,0.0003222504,0.0004455388,0.1082873],"genre_scores_gemma":[0.1807172,0.04775907,0.01404051,0.4183759,0.02950964,0.001402735,0.001814911,0.000467426,0.3059126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03595934,"threshold_uncertainty_score":0.1901735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04040389248946613,"score_gpt":0.386211259164307,"score_spread":0.3458073666748409,"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."}}