{"id":"W4231530258","doi":"10.3109/13561820.2011.589227","title":"Canadian Interprofessional Health Collaborative Blog http://cihcblog.com","year":2011,"lang":"en","type":"article","venue":"Journal of Interprofessional Care","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Interprofessional education; Library science; Medical education; World Wide Web; Medicine; Health care; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003542813,0.0002029398,0.0003381345,0.0001876788,0.0001841296,0.00001287677,0.000468222,0.0002887976,0.0002411963],"category_scores_gemma":[0.0001577198,0.0001420417,0.0001831891,0.0001419195,0.0001691328,0.000008265868,0.000158463,0.0004937836,0.00001453102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000185381,"about_ca_system_score_gemma":0.004286644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099605,"about_ca_topic_score_gemma":0.01494434,"domain_scores_codex":[0.998324,0.0002360105,0.0005666694,0.000224912,0.0002934413,0.0003550187],"domain_scores_gemma":[0.9982932,0.00003489548,0.0004225097,0.0001973778,0.000568539,0.0004835354],"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":[0.01781485,0.001191778,0.2612859,0.000558897,0.001766808,0.001051007,0.03943092,0.000008993278,0.05180472,0.002410715,0.3525744,0.270101],"study_design_scores_gemma":[0.01042043,0.03437775,0.1234431,0.01343202,0.0002513943,0.002818233,0.4170538,0.00009973106,0.06361602,0.004872623,0.3262747,0.003340208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974925,0.01106931,0.0008466995,0.004824344,0.004243217,0.0001972876,0.0001613637,0.00001493623,0.003717799],"genre_scores_gemma":[0.9893991,0.000118531,0.006843787,0.002352909,0.000378908,0.000006649205,0.00005504535,0.00002035258,0.0008246813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3776229,"threshold_uncertainty_score":0.8339291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664682274649507,"score_gpt":0.311481158238375,"score_spread":0.29483433549188,"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."}}