{"id":"W2897229783","doi":"10.2196/12001","title":"Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Lakehead University; York University","funders":"Canadian Institutes of Health Research","keywords":"Volatility (finance); Pain management; Computer science; Physical therapy; Artificial intelligence; Medicine; Psychology; Econometrics; Economics","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":[0.005356689,0.0006503394,0.0009376947,0.003187901,0.0003678155,0.001420298,0.0006552553,0.0007381612,0.0004470194],"category_scores_gemma":[0.01769589,0.0003005315,0.001359248,0.00193775,0.0003351325,0.0009179573,0.0007497961,0.001172422,0.0001938062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005859243,"about_ca_system_score_gemma":0.0008136961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003494744,"about_ca_topic_score_gemma":0.003619061,"domain_scores_codex":[0.9973434,0.0008410787,0.0003814928,0.0004093539,0.0008501138,0.0001746202],"domain_scores_gemma":[0.9825848,0.01213238,0.002801066,0.0006896624,0.001466875,0.0003252668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005411074,0.0007341427,0.8440139,0.000303556,0.0004849628,0.0002104258,0.0004711896,0.02920865,0.002151521,0.0005956179,0.001253674,0.1200313],"study_design_scores_gemma":[0.00003172218,0.000678685,0.4338122,0.0001754672,0.0001719487,0.0004845668,0.0004918028,0.5579494,0.002922489,0.002069115,0.001140782,0.00007186423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544435,0.0007819694,0.04112657,0.0006015811,0.00003828275,0.0003157065,0.001748495,0.000192913,0.0007511005],"genre_scores_gemma":[0.9639017,0.0003367155,0.03375563,0.00008508827,0.00003901001,0.0002646103,0.001421518,0.00001308002,0.0001827221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005356689,"threshold_uncertainty_score":0.02832919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466839749164358,"score_gpt":0.4865698205832495,"score_spread":0.3398858456668137,"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."}}