{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007828282,0.00190985,0.001226954,0.004639362,0.00416515,0.007030609,0.003004053,0.001860689,0.02743181],"category_scores_gemma":[0.02806647,0.0009726588,0.001298936,0.005866762,0.001276794,0.003796141,0.004326627,0.002766818,0.007678875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005341493,"about_ca_system_score_gemma":0.02047793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4820637,"about_ca_topic_score_gemma":0.5389776,"domain_scores_codex":[0.9961948,0.001519993,0.0001779859,0.000602316,0.0008690045,0.0006358076],"domain_scores_gemma":[0.9907458,0.003708669,0.000189362,0.001067925,0.003940703,0.0003476112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000656987,0.0002216996,0.004610958,0.0002210812,0.0001970602,0.0001948784,0.001199808,0.1366145,0.005202226,0.03385887,0.0473405,0.7696814],"study_design_scores_gemma":[0.0001573246,0.0001157346,0.004539953,0.0002495374,0.0001826745,0.00008128698,0.002457871,0.8450584,0.01555964,0.06138898,0.07004851,0.0001601963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03943853,0.00113945,0.8965871,0.003977875,0.0007425124,0.000272577,0.002505056,0.01735078,0.03798614],"genre_scores_gemma":[0.2958812,0.0006848874,0.6628963,0.0009169676,0.0002504432,0.0002771388,0.005104497,0.003942783,0.03004571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4820637,"threshold_uncertainty_score":0.9585155,"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."}}