{"id":"W6977103570","doi":"10.6084/m9.figshare.12737541","title":"Additional file 1 of Key characteristics and critical junctures for successful Interprofessional networks in healthcare – a case study","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Focus (optics); Key (lock); Health care; Focus group; Patient care; Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002221897,0.0003851409,0.0005101103,0.002296547,0.001440664,0.001007131,0.00137597,0.0007196506,0.8451588],"category_scores_gemma":[0.03356972,0.0002561104,0.0003409911,0.00422983,0.0002574894,0.001876732,0.0007459184,0.0007762342,0.07059238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857703,"about_ca_system_score_gemma":0.003403293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146503,"about_ca_topic_score_gemma":0.02059314,"domain_scores_codex":[0.9992849,0.0002404346,0.0001439533,0.0000830553,0.0001591965,0.00008851923],"domain_scores_gemma":[0.9578094,0.03465113,0.001884052,0.0009183292,0.003877332,0.0008596853],"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":[0.0002595132,0.0002283908,0.003822612,0.001840987,0.00001049868,0.0002285718,0.0008892408,0.0002063305,0.00003055523,0.001727642,0.9700982,0.02065747],"study_design_scores_gemma":[0.002591578,0.0004884001,0.05380854,0.007167561,0.0000957761,0.001570872,0.01160287,0.001676432,0.0004530958,0.01260779,0.9077903,0.0001467844],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004352347,0.0001031056,0.0009787896,0.001329414,0.00006787411,0.001919492,0.9756571,0.0001691587,0.01542264],"genre_scores_gemma":[0.141015,0.001294355,0.02180749,0.002978788,0.0003398554,0.05075673,0.66334,0.0006706972,0.117797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8451588,"threshold_uncertainty_score":0.2208623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05880591551272164,"score_gpt":0.435784931207315,"score_spread":0.3769790156945934,"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."}}