{"id":"W4210672337","doi":"10.22230/jripe.2022v12n1a337","title":"Template Analysis of a Longitudinal Interprofessional Survey: Making Sense of Free-Text Comments Collected Over Time","year":2022,"lang":"en","type":"article","venue":"Journal of Research in Interprofessional Practice and Education","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Otago","keywords":"Meaning (existential); Computer science; Context (archaeology); Teamwork; Qualitative property; Data science; Psychology; Management","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01458888,0.0001957159,0.0007285638,0.003560084,0.0008946785,0.0000213021,0.0005118267,0.0001857929,0.004044292],"category_scores_gemma":[0.005655566,0.0001687016,0.0001590644,0.004621915,0.0001950446,0.0007893748,0.0008190405,0.002794559,0.00001077213],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008894832,"about_ca_system_score_gemma":0.01076694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184659,"about_ca_topic_score_gemma":0.000532069,"domain_scores_codex":[0.9848419,0.01037419,0.002102989,0.0003187224,0.001927995,0.0004342058],"domain_scores_gemma":[0.9818135,0.01108667,0.002602492,0.0003983583,0.003928921,0.0001700333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03854329,0.005465035,0.748035,0.0004955512,0.001506183,0.00003195299,0.02370762,0.0001711473,0.007715888,0.002350862,0.1695647,0.002412867],"study_design_scores_gemma":[0.002085698,0.0009344258,0.8979554,0.003833619,0.000342003,0.00005980103,0.08441919,0.00241894,0.00009977381,0.002701571,0.004887434,0.0002621977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866754,0.0004481846,0.00006622317,0.007481179,0.002802127,0.0006082054,0.000162087,0.000005838666,0.001750771],"genre_scores_gemma":[0.9944981,0.0000724331,0.001021671,0.0007295604,0.0001709999,0.0001241228,0.000147047,0.00002440388,0.003211687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1646772,"threshold_uncertainty_score":0.9995061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135873122787903,"score_gpt":0.5700391594336065,"score_spread":0.4564518471548162,"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."}}