{"id":"W4296467207","doi":"10.3390/curroncol29100529","title":"Virtual or In-Person: A Mixed Methods Survey to Determine Exercise Programming Preferences during COVID-19","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary; University of Alberta","funders":"Alberta Innovates - Technology Futures; Alberta Cancer Foundation","keywords":"Feeling; Virtual reality; Medicine; Psychology; Applied psychology; Medical education; Computer science; Human–computer interaction; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.004013672,0.0001794209,0.0003648623,0.0008364764,0.0006718388,0.0007992979,0.0004239455,0.000354951,0.003408445],"category_scores_gemma":[0.006942507,0.0003055391,0.0002585733,0.0007739423,0.0002348034,0.0007930978,0.001156247,0.000514685,0.0008106545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006874265,"about_ca_system_score_gemma":0.0008827974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004504136,"about_ca_topic_score_gemma":0.007628711,"domain_scores_codex":[0.9979908,0.001072239,0.0002099714,0.0001672111,0.0002418213,0.0003178341],"domain_scores_gemma":[0.9966702,0.001143714,0.000703971,0.0001644623,0.000626678,0.0006910151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004855625,0.001493896,0.8933994,0.0005020595,0.00004321663,0.000374081,0.03666439,0.0001545455,0.002008067,0.0001441048,0.00250258,0.06222809],"study_design_scores_gemma":[0.00007709786,0.003521922,0.894665,0.0003246918,0.00003549593,0.0005503479,0.08852488,0.000973378,0.0009433709,0.0001133623,0.01022033,0.00005018663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959044,0.00007754874,0.0006234754,0.0001181214,0.000007737192,0.0008985613,0.0008678515,0.00001064831,0.001491632],"genre_scores_gemma":[0.9912975,0.0002920512,0.003006429,0.0004709124,0.00001221669,0.00260659,0.0008493263,0.00001075552,0.001454393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004504136,"threshold_uncertainty_score":0.02122658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4605671317341583,"score_gpt":0.5625446359886721,"score_spread":0.1019775042545138,"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."}}