{"id":"W4281570761","doi":"10.3390/curroncol29060304","title":"Screening for Distress and Health Outcomes in Head and Neck Cancer","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Distress; Anxiety; Hospital Anxiety and Depression Scale; Population; Head and neck cancer; Cancer; Cohort; Depression (economics); Observational study; Multivariate analysis; Retrospective cohort study; Clinical psychology; Internal medicine; Psychiatry; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001286032,0.0001419884,0.0001925217,0.0008457651,0.0003084292,0.0004715666,0.0001970882,0.0001935831,0.000685317],"category_scores_gemma":[0.006822029,0.0001172326,0.000307175,0.001151755,0.0002736392,0.0004467698,0.0008651126,0.000391647,0.00006045928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005217092,"about_ca_system_score_gemma":0.000453763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009708884,"about_ca_topic_score_gemma":0.01779151,"domain_scores_codex":[0.9990476,0.0003985476,0.000101619,0.0001038114,0.0001935714,0.0001549824],"domain_scores_gemma":[0.99805,0.0004557485,0.001050529,0.00006831456,0.0001777418,0.0001976333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000254997,0.00002277492,0.995492,0.00002196321,0.00003877763,0.00002102509,0.0001307015,0.00004175321,0.00003748899,0.00002614165,0.00007652576,0.004065303],"study_design_scores_gemma":[9.07541e-7,0.00002830465,0.9995577,0.000009463913,0.00001341767,0.00004072093,0.0001498955,0.00005299277,0.00001674757,0.00002782944,0.0001003041,0.000001631547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975606,0.000989168,0.0001394859,0.0001224989,0.00001075414,0.00002287775,0.0003292406,0.000002133741,0.0008232476],"genre_scores_gemma":[0.9992532,0.0003088666,0.00008553571,0.00003606895,0.00001004105,0.0000128076,0.0002163543,5.752225e-7,0.00007655761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009708884,"threshold_uncertainty_score":0.01930475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2075537489605861,"score_gpt":0.4896663456694627,"score_spread":0.2821125967088766,"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."}}