{"id":"W1535549208","doi":"10.22230/jripe.2013v3n2a110","title":"Exploring Social Media’s Potential in Interprofessional Education","year":2013,"lang":"en","type":"article","venue":"Journal of Research in Interprofessional Practice and Education","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mainstream; Interprofessional education; Social media; Asynchronous communication; Health care; Curriculum; Variety (cybernetics); Conversation; Space (punctuation); Public relations; Sociology; Engineering ethics; Medical education; Computer science; Medicine; Pedagogy; Political science; Engineering; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006379752,0.0003145174,0.0002219577,0.002594355,0.004759625,0.00944705,0.0007735902,0.001320899,0.00884063],"category_scores_gemma":[0.01322145,0.0002805943,0.0005779876,0.001889716,0.002857084,0.008103233,0.006558204,0.001069399,0.0004229348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275677,"about_ca_system_score_gemma":0.003279688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002405185,"about_ca_topic_score_gemma":0.006824618,"domain_scores_codex":[0.9929669,0.005574258,0.0001220566,0.0001701554,0.0005206108,0.0006460184],"domain_scores_gemma":[0.9728908,0.02310205,0.0009096614,0.0003782178,0.001100708,0.001618516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000692277,0.001721629,0.09369162,0.002524992,0.0002389233,0.002240427,0.2745256,0.0007262138,0.002155212,0.09965679,0.007401336,0.514425],"study_design_scores_gemma":[0.0001779796,0.001105283,0.06415948,0.003650952,0.000250942,0.001350577,0.7441893,0.002321179,0.001846433,0.05432698,0.1264903,0.0001305858],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7524617,0.007599429,0.005980572,0.02535105,0.0004072559,0.0002833614,0.0001284576,0.00005069417,0.2077376],"genre_scores_gemma":[0.9909922,0.002600623,0.002484659,0.0008037909,0.0001226804,0.0001330652,0.00002191403,0.000012044,0.00282912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00944705,"threshold_uncertainty_score":0.03373975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2175500891640267,"score_gpt":0.5707929145243591,"score_spread":0.3532428253603324,"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."}}