{"id":"W4406512470","doi":"10.1016/j.yoto.2013.02.044","title":"10.1016/j.yoto.2013.02.044","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Head and neck; Medicine; Radiology; Head and neck cancer; Computed tomography; Perspective (graphical); Nuclear medicine; Radiation therapy; Surgery; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007561842,0.0008062081,0.0004380827,0.001667598,0.0009513181,0.002160787,0.0006976763,0.00254889,0.8756169],"category_scores_gemma":[0.001265753,0.0004100388,0.0005140565,0.0008297295,0.000688488,0.001731636,0.001093034,0.001003952,0.7428504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007199405,"about_ca_system_score_gemma":0.001253676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004070594,"about_ca_topic_score_gemma":0.004540412,"domain_scores_codex":[0.9997841,0.00002756938,0.00001814496,0.00004894633,0.00005463087,0.00006677333],"domain_scores_gemma":[0.9992925,0.0001427798,0.0001042005,0.00003623192,0.0001361994,0.0002880503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004123694,0.0003607258,0.01240056,0.0006541687,0.00005583736,0.0003460753,0.0002401272,0.0001361902,0.0004836232,0.005036008,0.3579952,0.6218792],"study_design_scores_gemma":[0.000133274,0.0001891226,0.01825879,0.001911821,0.00007346242,0.002455839,0.0008957906,0.0002132144,0.0003769175,0.00442728,0.9710284,0.00003602119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01064998,0.02169899,0.001151574,0.0130306,0.003180784,0.0001089177,0.005899206,0.0009742358,0.9433057],"genre_scores_gemma":[0.02313044,0.009419947,0.001148383,0.002286541,0.0008665558,0.00009436811,0.002309341,0.0001597907,0.9605846],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1243831,"threshold_uncertainty_score":0.1774173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079710996903922,"score_gpt":0.2214730667609035,"score_spread":0.2106759567918643,"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."}}