{"id":"W4385494084","doi":"10.4103/crst.crst_113_23","title":"Patient with cancer who found support and care from ChatGPT","year":2023,"lang":"en","type":"article","venue":"Cancer Research Statistics and Treatment","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grief; Feeling; Psychology; Medicine; Psychoanalysis; Psychiatry; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001846018,0.0002691466,0.0004377929,0.000417942,0.004273782,0.0009698083,0.0005045122,0.001399458,0.0142556],"category_scores_gemma":[0.002116048,0.0001892354,0.0003139332,0.0007891053,0.0005532725,0.001147604,0.001167921,0.002851405,0.001529907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544027,"about_ca_system_score_gemma":0.002686825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009693359,"about_ca_topic_score_gemma":0.04336868,"domain_scores_codex":[0.9997489,0.00003636387,0.0000173379,0.00003978774,0.00005403216,0.0001036966],"domain_scores_gemma":[0.9990274,0.00008525857,0.00005156798,0.0000158139,0.00009112968,0.0007288484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0002116137,0.0007595043,0.08792587,0.0004554976,0.00007701933,0.4971552,0.00846877,0.0002626792,0.001589939,0.002919514,0.3316738,0.06850055],"study_design_scores_gemma":[0.00009259186,0.0006989874,0.04010516,0.0009549948,0.00007878497,0.7543045,0.025266,0.001105789,0.0004700903,0.003353564,0.1734652,0.0001042824],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5561646,0.02414486,0.002131723,0.176598,0.00939773,0.0006477029,0.002072167,0.0007070844,0.2281361],"genre_scores_gemma":[0.8829819,0.007839798,0.003362341,0.06162189,0.001879155,0.0002377983,0.0009641488,0.0001489101,0.04096403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142556,"threshold_uncertainty_score":0.0476898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2861540313135561,"score_gpt":0.5309656195189346,"score_spread":0.2448115882053785,"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."}}