{"id":"W4386174098","doi":"10.1249/tjx.0000000000000084","title":"A Complementary Perspective of Wellness-Related Literacies","year":2019,"lang":"en","type":"article","venue":"Translational Journal of the American College of Sports Medicine","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Psychology; Sociology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001158227,0.0001229036,0.0007198349,0.0002393455,0.0001707941,3.036172e-7,0.0002849008,0.00003935532,0.001874138],"category_scores_gemma":[0.00005925589,0.00007745912,0.0001422462,0.0007553841,0.0004672892,0.00006375814,0.00001990449,0.0004662232,0.000004375241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008850823,"about_ca_system_score_gemma":0.00100478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002899351,"about_ca_topic_score_gemma":0.00001798749,"domain_scores_codex":[0.9969248,0.0002143598,0.001730401,0.0001239664,0.0007724854,0.0002339967],"domain_scores_gemma":[0.9951299,0.0006833803,0.002944565,0.0002611489,0.0008221889,0.0001588223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002885641,0.0004130345,0.3694468,0.001145499,0.0003380539,0.00001382549,0.01224501,0.0004866909,0.002154883,0.5764822,0.01824599,0.01614241],"study_design_scores_gemma":[0.00685003,0.0009915206,0.7745773,0.003748834,0.0003015736,0.00009438274,0.03272852,0.000178009,0.0001195082,0.1236435,0.05657578,0.0001910818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7854705,0.002029191,0.000194547,0.2003176,0.0009862212,0.002304216,0.0003086604,0.00001035553,0.008378692],"genre_scores_gemma":[0.9970777,0.000475025,0.0005868411,0.001106065,0.0001681492,0.00001409519,0.000008800022,0.00001405052,0.0005492679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4528387,"threshold_uncertainty_score":0.9990383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090959354473593,"score_gpt":0.3831121871401058,"score_spread":0.3622025935953698,"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."}}