{"id":"W4391598858","doi":"10.3390/biomedinformatics4010024","title":"Ensemble Methods to Optimize Automated Text Classification in Avatar Therapy","year":2024,"lang":"en","type":"article","venue":"BioMedInformatics","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut national de psychiatrie légale Philippe-Pinel; Université de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"Otsuka Canada Pharmaceutical; Canada First Research Excellence Fund","keywords":"Avatar; Computer science; Artificial intelligence; Natural language processing; Machine learning; Pattern recognition (psychology); Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004995186,0.001342861,0.001893421,0.001839455,0.0006698185,0.001362542,0.001669031,0.001524577,0.001553147],"category_scores_gemma":[0.01087244,0.000480575,0.001162316,0.00142717,0.0003730527,0.001628093,0.001068211,0.001913956,0.00081299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024826,"about_ca_system_score_gemma":0.001093527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006544593,"about_ca_topic_score_gemma":0.005567092,"domain_scores_codex":[0.9983364,0.0006826711,0.0001543372,0.0004177612,0.0002587604,0.000150136],"domain_scores_gemma":[0.9934368,0.004302816,0.0003824712,0.0004651029,0.00124738,0.000165401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003989924,0.0002416249,0.006058348,0.0001249606,0.0002955763,0.00008397685,0.000235452,0.4910097,0.002523762,0.001633765,0.003466825,0.493927],"study_design_scores_gemma":[0.000005570422,0.00004602893,0.0004045964,0.000008643507,0.00001602508,0.00001171193,0.00002089395,0.9973037,0.0005076086,0.001390466,0.0002793818,0.000005363632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1182457,0.001645691,0.8747434,0.0006431859,0.0002422214,0.0002162196,0.0004865108,0.002367371,0.00140968],"genre_scores_gemma":[0.7052408,0.0005027068,0.2885058,0.0002837125,0.0002698526,0.0003903449,0.001669308,0.0001970005,0.002940504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006544593,"threshold_uncertainty_score":0.02641737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100354619399443,"score_gpt":0.4929203586231805,"score_spread":0.3828848966832362,"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."}}