{"id":"W1499814219","doi":"10.22230/jripe.2012v2n3a78","title":"Developing a Virtual Interdisciplinary Research Community in Clinical Education: Enticing People to the “Tea-Room”","year":2012,"lang":"en","type":"article","venue":"Journal of Research in Interprofessional Practice and Education","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Focus group; Perception; Dilemma; Psychology; Medical education; Affect (linguistics); Value (mathematics); Public relations; Knowledge management; Medicine; Computer science; Marketing; Business; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02151204,0.0004909681,0.0003206077,0.001546349,0.007607169,0.007661962,0.002495581,0.002317382,0.008891788],"category_scores_gemma":[0.03036286,0.0005385523,0.0008733839,0.0006407071,0.005998379,0.006844461,0.02067627,0.002546185,0.001527004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009455452,"about_ca_system_score_gemma":0.005033317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003393201,"about_ca_topic_score_gemma":0.001190246,"domain_scores_codex":[0.9778907,0.01866684,0.0003565878,0.0007153049,0.001185412,0.001185139],"domain_scores_gemma":[0.9595058,0.01720231,0.003498792,0.00274834,0.001268856,0.01577591],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007028694,0.00516129,0.04208823,0.001924239,0.0001326466,0.002734448,0.3534105,0.0008441849,0.009915845,0.02191949,0.02167981,0.5394865],"study_design_scores_gemma":[0.0007304384,0.004775198,0.03114626,0.00266942,0.0001886752,0.005775148,0.5194066,0.004496795,0.004626584,0.05894632,0.3668803,0.0003581793],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8289837,0.001584681,0.08154588,0.02862821,0.0009719924,0.001249955,0.00004706131,0.0007870076,0.05620147],"genre_scores_gemma":[0.912306,0.0006551372,0.07816549,0.00364141,0.0002960808,0.0007792129,0.00006039516,0.00009228591,0.004004069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.978488,"threshold_uncertainty_score":0.1137679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4073605631420746,"score_gpt":0.671598623819295,"score_spread":0.2642380606772204,"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."}}