{"id":"W4302362880","doi":"10.2196/preprints.43070","title":"Artificial Intelligence–Based Co-Facilitator (AICF) for Detecting and Monitoring Group Cohesion Outcomes in Web-Based Cancer Support Groups: Single-Arm Trial Study (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facilitator; Group cohesiveness; Cohesion (chemistry); Distress; Psychology; Artificial intelligence; Computer science; Natural language processing; Applied psychology; Social psychology; Clinical psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01246846,0.001081543,0.001956562,0.000627761,0.0008482384,0.001033211,0.0008937317,0.001996044,0.003363937],"category_scores_gemma":[0.02097114,0.0005720929,0.001768713,0.0005095578,0.0007597053,0.001631948,0.0008146244,0.002360428,0.0008341614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119261,"about_ca_system_score_gemma":0.001871037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002656789,"about_ca_topic_score_gemma":0.001897741,"domain_scores_codex":[0.9953609,0.003242419,0.0003278467,0.0005269074,0.0003162628,0.0002256735],"domain_scores_gemma":[0.9865711,0.007828048,0.001275525,0.001526649,0.001472523,0.001326076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.6560289,0.05762076,0.02965859,0.002561267,0.003937892,0.00006128083,0.001377237,0.006421043,0.003643165,0.0003330795,0.002586278,0.2357706],"study_design_scores_gemma":[0.1437691,0.755659,0.05996218,0.0004690724,0.003403345,0.00008133855,0.0005089755,0.02737993,0.004684621,0.0008216602,0.003059127,0.0002015638],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819171,0.001123759,0.005185696,0.0003354948,0.0003004869,0.009485903,0.000433184,0.0002126001,0.001005691],"genre_scores_gemma":[0.9627495,0.0005245474,0.01473556,0.0002668101,0.0002234782,0.01986079,0.0004645712,0.00003411582,0.001140701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01246846,"threshold_uncertainty_score":0.06594032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1819922614122576,"score_gpt":0.4524195208736345,"score_spread":0.2704272594613769,"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."}}