{"id":"W2979551692","doi":"10.1080/17538068.2019.1675427","title":"Moving on from structured communication to collaboration: a communication schema for interprofessional teams","year":2019,"lang":"en","type":"article","venue":"Journal of Communications In Healthcare","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Rockyview General Hospital","funders":"","keywords":"Conversation; Teamwork; Schema (genetic algorithms); Health care; Psychology; Knowledge management; Computer science; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002184077,0.0002401084,0.0005640233,0.0006526547,0.0009957097,0.00004763245,0.001910429,0.0003711195,0.0004477972],"category_scores_gemma":[0.001162877,0.0002215186,0.0001182225,0.001061677,0.00007197589,0.000541381,0.0004270748,0.001794204,0.000218588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441298,"about_ca_system_score_gemma":0.004083255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005722541,"about_ca_topic_score_gemma":0.005417468,"domain_scores_codex":[0.9943134,0.002514546,0.002034615,0.0002598455,0.000521316,0.0003562369],"domain_scores_gemma":[0.9887475,0.003923865,0.001599081,0.002501098,0.003009674,0.0002187803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01288353,0.001985586,0.3451611,0.0008289471,0.0002917894,0.00000166771,0.1120626,0.00141531,0.009258866,0.3880899,0.09610291,0.03191778],"study_design_scores_gemma":[0.01325242,0.002308872,0.2660928,0.0252514,0.0001203483,0.00001226,0.2392816,0.008252248,0.0009594694,0.1144674,0.3284269,0.001574336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7965785,0.001703429,0.0006795463,0.1931804,0.002043715,0.003384571,0.0001804116,0.00004492779,0.002204502],"genre_scores_gemma":[0.9356613,0.0003240124,0.05402812,0.007865299,0.0001793672,0.0005506779,0.0004203762,0.00004503556,0.0009258379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2736225,"threshold_uncertainty_score":0.9033266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580841669178148,"score_gpt":0.4881168057134981,"score_spread":0.4423083890217167,"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."}}