{"id":"W3120354171","doi":"10.2196/21453","title":"Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mental Health via Writing","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto; University Health Network","funders":"Cancer Care Ontario","keywords":"Protocol (science); Computer science; Algorithm; Artificial intelligence; Machine learning; Natural language processing; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04553185,0.002784756,0.003293894,0.002064073,0.002055451,0.0024098,0.002520304,0.002882957,0.09178685],"category_scores_gemma":[0.06009362,0.00179951,0.003733382,0.001480168,0.001858392,0.001315628,0.001933172,0.003632936,0.01558139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003247239,"about_ca_system_score_gemma":0.01438572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002141044,"about_ca_topic_score_gemma":0.00307219,"domain_scores_codex":[0.9855963,0.00810778,0.002483548,0.001303867,0.001722117,0.0007864961],"domain_scores_gemma":[0.9625102,0.01199443,0.00377098,0.007136135,0.01328036,0.001307985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1217,0.02037214,0.005413873,0.06748117,0.002281829,0.001296072,0.004213187,0.009378665,0.009774871,0.01245155,0.1528754,0.5927613],"study_design_scores_gemma":[0.186465,0.04371322,0.02597092,0.04412052,0.003372643,0.0009423193,0.002509019,0.01538239,0.01662154,0.01717848,0.6428745,0.0008494813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.004436632,0.0004269555,0.01888365,0.0002569269,0.0003440474,0.9691574,0.003914543,0.0003387372,0.002240971],"genre_scores_gemma":[0.001742844,0.00009493205,0.008520196,0.00007490503,0.00001651227,0.9887382,0.0003853505,0.00002038851,0.0004067895],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.09178685,"threshold_uncertainty_score":0.3070576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3968002758070936,"score_gpt":0.6548713483423831,"score_spread":0.2580710725352895,"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."}}