{"id":"W2488232084","doi":"10.1007/978-3-319-07269-2","title":"Computational Methods and Clinical Applications for Spine Imaging","year":2014,"lang":"en","type":"book","venue":"Lecture notes in computational vision and biomechanics","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"SPINE (molecular biology); Computer science; Artificial intelligence; Medicine; Bioinformatics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007520469,0.0002812727,0.0004940023,0.0003272795,0.00009441388,0.00007730762,0.0001115723,0.000257048,0.00001562023],"category_scores_gemma":[0.0001446899,0.0002526789,0.0001280293,0.0001673654,0.000100332,0.00003664244,0.00006213207,0.0003974728,0.000003792652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005484971,"about_ca_system_score_gemma":0.00006874435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001055047,"about_ca_topic_score_gemma":0.000002001581,"domain_scores_codex":[0.9985616,0.00006596369,0.000575991,0.0003902248,0.0002231594,0.000183123],"domain_scores_gemma":[0.9976275,0.001889674,0.0001041076,0.0001191524,0.000121455,0.0001381076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003158392,0.0000257444,0.00001519556,0.000307688,0.00008359591,0.000001146582,0.00002088441,0.05599701,0.0000350769,0.004120488,0.001333618,0.9380564],"study_design_scores_gemma":[0.0003506696,0.00002168573,0.00002331994,0.000103882,0.00006017201,0.000009378697,9.471113e-7,0.713735,0.000006509658,0.2458213,0.03966885,0.0001982428],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000166846,0.001906714,0.9962392,0.0008065558,0.0002109571,0.000316964,0.00005419933,0.0001071911,0.0003414942],"genre_scores_gemma":[0.01284139,0.0003705371,0.9814665,0.001646847,0.000735433,0.0000605543,0.002004488,0.00009959142,0.0007746435],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9378582,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525654061855924,"score_gpt":0.368250128191977,"score_spread":0.3529935875734178,"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."}}