{"id":"W4413323648","doi":"10.1016/j.dib.2025.111992","title":"Multimodal insights into diverse pain experiences: PhysioPain dataset","year":2025,"lang":"en","type":"article","venue":"Data in Brief","topic":"Pain Management and Placebo Effect","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qatar National Library","keywords":"Data science; Research article; Computer science; Psychology; Library science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00266003,0.0001595556,0.000168203,0.0001891785,0.0001646522,0.0001090669,0.001655434,0.00004773135,0.00009973234],"category_scores_gemma":[0.004657257,0.0001475736,0.00001873003,0.0006580494,0.0001595163,0.0007739157,0.001279978,0.0001554086,0.0001159006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003425055,"about_ca_system_score_gemma":0.00003184887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007523457,"about_ca_topic_score_gemma":0.0003153885,"domain_scores_codex":[0.9968243,0.001699576,0.0002037179,0.0007627369,0.0002393874,0.0002702684],"domain_scores_gemma":[0.9965501,0.001947002,0.0000497998,0.001398714,0.000005404324,0.00004902327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001885975,0.0004480983,0.002839972,0.0002262982,0.00001466056,0.0003399144,0.00537236,0.0001260412,0.03572147,0.002890891,0.8889391,0.06289262],"study_design_scores_gemma":[0.0008909413,0.00003598353,0.001034403,0.0001092282,0.0000102702,3.351105e-7,0.001625208,0.2140701,0.00643807,0.000685143,0.7747757,0.0003246091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078088,0.0005075387,0.06111619,0.001905303,0.002727355,0.003616848,0.006943005,0.0006058536,0.01476908],"genre_scores_gemma":[0.9885557,0.00005773778,0.0003560942,0.005612908,0.00005287162,0.00007522918,0.005059035,0.000007944855,0.000222471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2139441,"threshold_uncertainty_score":0.6017876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0413897879504505,"score_gpt":0.3159952677037735,"score_spread":0.274605479753323,"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."}}