{"id":"W394305815","doi":"","title":"APPLYING MLEARNING STRATEGIES AT THE CANADIAN FOREIGN SERVICE INSTITUTE","year":2014,"lang":"en","type":"article","venue":"ICERI2014 Proceedings","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Service (business); Telecommunications; Computer science; Business; Marketing","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008502945,0.0001150263,0.00009661802,0.00006711352,0.00368121,0.001367424,0.0002908817,0.000114396,0.0005290228],"category_scores_gemma":[0.0002534105,0.00008985554,0.00003237189,0.0003978016,0.0002199501,0.001101936,0.00003461188,0.0001934498,0.0003055844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002926982,"about_ca_system_score_gemma":0.0005149537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2698331,"about_ca_topic_score_gemma":0.9250895,"domain_scores_codex":[0.9989368,0.0000221803,0.0001583584,0.0002151227,0.0003128635,0.0003546701],"domain_scores_gemma":[0.999172,0.00002807855,0.00008568382,0.00007849493,0.0004689732,0.0001667363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007282295,0.00000616657,0.003129369,0.00001928662,0.000009269768,1.976964e-7,0.02878518,0.0001440642,0.001369129,0.9476969,0.007631938,0.01120127],"study_design_scores_gemma":[0.0001140015,0.00001474562,0.001685114,0.0000168978,0.000007196383,0.000001270884,0.01954901,0.001627713,0.0001388235,0.001621383,0.9750814,0.0001424244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2239879,0.00002815697,0.0002211231,0.007848023,0.0002530197,0.0005052894,0.000001666822,0.0001437121,0.7670111],"genre_scores_gemma":[0.9922606,0.0000106275,0.0001021444,0.002920782,0.000432043,0.0001330129,0.00001114069,0.00001333057,0.004116368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9674495,"threshold_uncertainty_score":0.9996693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541443971210042,"score_gpt":0.3127989209217198,"score_spread":0.2873844812096195,"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."}}