{"id":"W6925217079","doi":"10.17182/hepdata.57107.v1/t35","title":"Table 35","year":2010,"lang":"en","type":"dataset","venue":"HEPData","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Table (database); Beam (structure); Matrix (chemical analysis); Energy (signal processing); Photon","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007261459,0.002023986,0.001360346,0.00373096,0.0005845674,0.002056726,0.001783771,0.001257726,0.11716],"category_scores_gemma":[0.005544696,0.0005568245,0.00128672,0.006448674,0.0003042218,0.001014867,0.001221364,0.001390304,0.1287626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469891,"about_ca_system_score_gemma":0.002513819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935507,"about_ca_topic_score_gemma":0.02741998,"domain_scores_codex":[0.998978,0.0001314745,0.000162462,0.0003988518,0.0001900725,0.0001391376],"domain_scores_gemma":[0.9982675,0.0004700545,0.0002031654,0.0003617323,0.0005426857,0.0001549066],"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":[0.0001215505,0.00002706074,0.002396294,0.00134845,0.00008034119,0.00004250594,0.00001980911,0.0004767527,0.0002696607,0.0005107472,0.9901958,0.004510981],"study_design_scores_gemma":[0.0002855665,0.00003298306,0.00892832,0.0004456983,0.00007834257,0.0001185788,0.0000795687,0.0005262,0.0005117448,0.001280267,0.9876852,0.00002749585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008986035,0.00005693332,0.00002980731,0.0000216909,0.00000909761,0.000006327746,0.9993379,0.0001015277,0.0003469916],"genre_scores_gemma":[0.0003107821,0.00005051319,0.0001291,0.00002959772,0.000003884501,0.00003317928,0.9990366,0.00002267573,0.0003836931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.88284,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997153448041325,"score_gpt":0.3036926843640863,"score_spread":0.283721149883673,"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."}}