{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002783005,0.0002431531,0.0003198166,0.0001880297,0.0005819637,0.0001827294,0.0002738757,0.0001387586,0.0003312277],"category_scores_gemma":[0.0001521808,0.0002252048,0.00004357473,0.000362645,0.0001047133,0.0002738863,0.0001233233,0.0004534296,0.00001106408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003286878,"about_ca_system_score_gemma":0.001454816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005221074,"about_ca_topic_score_gemma":0.0002492413,"domain_scores_codex":[0.9960549,0.0006949238,0.0006660658,0.0008926447,0.0007601092,0.0009313517],"domain_scores_gemma":[0.9978766,0.0003497721,0.0001614831,0.0003871575,0.000927317,0.0002976854],"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":[0.003439817,0.006104514,0.005883885,0.004609402,0.00004621757,0.00005498995,0.01728931,9.864389e-7,0.001991131,0.00008854804,0.003026866,0.9574643],"study_design_scores_gemma":[0.1010059,0.0450598,0.05068662,0.005880051,0.00002228833,0.00005358056,0.1456126,0.009752568,0.07373535,0.0001519357,0.565793,0.002246225],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.03539282,0.000004158665,0.0008354421,0.0001633023,0.00001910037,0.9631693,0.0002692863,0.00009314235,0.00005349458],"genre_scores_gemma":[0.004483277,8.249333e-9,0.01851007,0.0001354235,0.0002727594,0.9743621,0.0003510529,0.00006476374,0.001820508],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9552181,"threshold_uncertainty_score":0.9183584,"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."}}