{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001530125,0.0002376018,0.0001680162,0.0007341677,0.0007930211,0.002398908,0.0005055893,0.0005339701,0.006088454],"category_scores_gemma":[0.007915143,0.00008990015,0.0004113812,0.0005426394,0.0004746536,0.002583567,0.003027739,0.0005568097,0.0008251946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006199077,"about_ca_system_score_gemma":0.001118341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005526567,"about_ca_topic_score_gemma":0.001694854,"domain_scores_codex":[0.9989851,0.0006479447,0.00004542337,0.00005387619,0.0001460392,0.0001217251],"domain_scores_gemma":[0.9979036,0.0012654,0.0001983775,0.0001096702,0.0001200554,0.0004029434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002248872,0.0006680294,0.009294451,0.0009085182,0.00006847928,0.0002648066,0.002369979,0.0009626024,0.001154778,0.005291618,0.02340649,0.9553853],"study_design_scores_gemma":[0.000878685,0.005752934,0.0688455,0.006144052,0.0006009864,0.002990883,0.02550791,0.0139495,0.008589932,0.09860524,0.7678891,0.0002451985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6743777,0.04508615,0.02656784,0.06958256,0.00236781,0.001205545,0.0006556819,0.001327672,0.1788291],"genre_scores_gemma":[0.9507813,0.01650809,0.01938944,0.002749263,0.0007737227,0.0005806682,0.0002359899,0.00005832703,0.00892313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006088454,"threshold_uncertainty_score":0.02036792,"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."}}