{"id":"W1584663298","doi":"10.4103/1357-6283.161896","title":"Building an interfaculty interprofessional education curriculum: What can we learn from the Université Laval experience?","year":2015,"lang":"en","type":"article","venue":"Education for Health","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"","keywords":"Curriculum; Interprofessional education; Medical education; Process (computing); Social care; Health care; Pedagogy; Medicine; Sociology; Nursing; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008615308,0.0002297903,0.000245466,0.0001420523,0.001711107,0.00009740299,0.0004806134,0.0001823844,0.0003699433],"category_scores_gemma":[0.0003222751,0.0001733112,0.00006586891,0.0004385815,0.00006236038,0.001020622,0.0001005308,0.0005945076,0.000103509],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982574,"about_ca_system_score_gemma":0.04420576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01454779,"about_ca_topic_score_gemma":0.007335307,"domain_scores_codex":[0.9969911,0.001010462,0.0006678118,0.0004773804,0.0003967648,0.0004564997],"domain_scores_gemma":[0.9968975,0.0003007831,0.0005805235,0.0004661546,0.001208017,0.0005470158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004161723,0.001085671,0.02506633,0.00008498818,0.00002210141,6.669324e-8,0.3271144,0.000008848195,0.0002347709,0.03283804,0.5050422,0.1080864],"study_design_scores_gemma":[0.0004704339,0.0001498858,0.007437681,0.001153902,0.00001224039,0.000001460875,0.636925,0.0002430191,0.00006918846,0.006940246,0.3463952,0.0002017281],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8101901,0.001337696,0.001146481,0.1600954,0.02475932,0.001805531,0.00006690679,0.0001104066,0.0004880969],"genre_scores_gemma":[0.9466866,0.0002777257,0.007544188,0.02671949,0.00332499,0.001308329,0.00156026,0.00005433373,0.01252405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3098106,"threshold_uncertainty_score":0.9995885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.056467317975372,"score_gpt":0.4708956544132156,"score_spread":0.4144283364378436,"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."}}