{"id":"W4281878916","doi":"10.2196/36258","title":"Optimizing Social Support in Oncology with Digital Platforms","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social support; Coping (psychology); Medicine; Nursing; Psychology; Psychiatry; Psychotherapist","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006479091,0.00009040077,0.0002155622,0.00008118639,0.00008804407,0.00001122622,0.00006505258,0.00004245886,0.002280976],"category_scores_gemma":[0.000001855621,0.00007579105,0.00005164179,0.0002583915,0.0000416006,0.0000890234,0.00006816594,0.0003091092,0.000006555515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008112739,"about_ca_system_score_gemma":0.0005478128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003686656,"about_ca_topic_score_gemma":0.002872828,"domain_scores_codex":[0.9991912,0.000004691417,0.0001282747,0.0001846474,0.0002537609,0.0002373955],"domain_scores_gemma":[0.9997666,0.00001328948,0.00004780565,0.00008928434,0.00002519984,0.00005785592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01120968,0.001175423,0.415897,0.0003284398,0.00032355,0.00269955,0.1125391,0.0009065521,0.0005979858,0.0013722,0.05471469,0.3982358],"study_design_scores_gemma":[0.004701213,0.001646569,0.02289519,0.00003201606,0.00003859066,0.0001562864,0.01550955,0.00006378509,0.0001200266,0.0001146904,0.954408,0.0003140429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964691,0.0001469828,0.00001251043,0.00154417,0.0003500547,0.0003432018,0.00007241573,0.00004883979,0.03279087],"genre_scores_gemma":[0.9946971,0.000009586682,0.00001768679,0.001397827,0.0002525299,0.0007839898,0.00005291623,0.00002220507,0.002766174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8996934,"threshold_uncertainty_score":0.9986311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230967864172445,"score_gpt":0.3238558918191974,"score_spread":0.3007591054019529,"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."}}