{"id":"W3043107615","doi":"10.1037/t75125-000","title":"McGill Body Image Concerns Scale–Head and Neck Cancer","year":2019,"lang":"en","type":"dataset","venue":"PsycTESTS Dataset","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Head and neck; Scale (ratio); Head and neck cancer; Head (geology); Medicine; Cancer; Geography; Cartography; Internal medicine; Geology; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001002875,0.0006140757,0.001004173,0.0001576905,0.0001159755,0.00007620685,0.0002742058,0.0003127531,0.00309856],"category_scores_gemma":[0.00004638499,0.0005131062,0.0001201689,0.0001645167,0.0001737289,0.0001551588,0.0002792215,0.0004980435,0.001426136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785256,"about_ca_system_score_gemma":0.0001933898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008947226,"about_ca_topic_score_gemma":0.003915312,"domain_scores_codex":[0.9974447,0.00004109144,0.0004499875,0.001070987,0.0004620037,0.0005311656],"domain_scores_gemma":[0.9973068,0.0001270495,0.0002610566,0.001795977,0.00008895354,0.0004201482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001591059,0.0005583496,0.003163302,0.0007853021,0.0003512166,0.0002761388,0.000004271886,1.993162e-7,0.00001911448,0.000001351172,0.9936651,0.001016559],"study_design_scores_gemma":[0.003603876,0.0004875631,0.01529873,0.0010518,0.001419677,0.0001235908,0.000005931809,0.000004048557,0.00006148061,0.000005064472,0.9774559,0.0004823291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001310549,0.00329215,1.70888e-7,0.00130724,0.0007569357,0.001112434,0.9921231,0.00003341683,0.00006397795],"genre_scores_gemma":[0.00008359455,0.01604265,0.0001060703,0.003023221,0.0006356848,0.0003463835,0.979585,0.000055961,0.0001214533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01620918,"threshold_uncertainty_score":0.9997321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03925356095840312,"score_gpt":0.377464063941741,"score_spread":0.3382105029833379,"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."}}