{"id":"W4390104481","doi":"10.1080/13561820.2023.2289511","title":"Characterization and analysis of the proposals submitted to the PET-Health Interprofessionality in Brazil: advancements and future directions","year":2023,"lang":"en","type":"article","venue":"Journal of Interprofessional Care","topic":"Health, Nursing, Elderly Care","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health, British Columbia","keywords":"Content analysis; Notice; Focus group; Interprofessional education; Medical education; Health care; SAFER; Process (computing); Curriculum; Psychology; Medicine; Sociology; Pedagogy; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.04230608,0.0004021278,0.0005438562,0.006501007,0.005094145,0.006205584,0.00138984,0.001417662,0.002295783],"category_scores_gemma":[0.1415346,0.0005875886,0.0005241462,0.008379415,0.004777713,0.003254724,0.006250585,0.001223909,0.0003965212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00679908,"about_ca_system_score_gemma":0.02691343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016469,"about_ca_topic_score_gemma":0.007689667,"domain_scores_codex":[0.9519409,0.028494,0.004280327,0.00203154,0.01022878,0.003024377],"domain_scores_gemma":[0.8333467,0.1001517,0.02360579,0.008514865,0.02710114,0.007279733],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001357169,0.0002304112,0.1732958,0.002949258,0.00004598382,0.002050515,0.6076086,0.0005424296,0.008050807,0.01670767,0.002868652,0.1855142],"study_design_scores_gemma":[0.0000187459,0.0003573977,0.1908013,0.002221648,0.00003708147,0.001144828,0.7029175,0.001029149,0.002816695,0.002845823,0.0957106,0.00009920185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731604,0.001050113,0.007007887,0.004606611,0.0001140175,0.001416773,0.0004117022,0.00004826989,0.01218418],"genre_scores_gemma":[0.9860826,0.001013611,0.008351221,0.0003023369,0.00004361012,0.001270059,0.0003056508,0.0000448514,0.002586127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9576939,"threshold_uncertainty_score":0.2237386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216872129568793,"score_gpt":0.4320762961612747,"score_spread":0.4103890832043954,"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."}}